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JPEGsnoop - JPEG File Decoding Utility
by Calvin Hass © 2009
JPEGsnoop is a free Windows application that examines and decodes the inner details of JPEG and MotionJPEG AVI files. It can also be used to analyze the source of an image to test its authenticity.
Overview
Latest Version: 1.4.1
Introduction
Every digital photo contains a wealth of hidden information -- JPEGsnoop was written to expose these details to those who are curious.
Not only can one determine the various settings that were used in the digital camera in taking the photo (EXIF metadata, IPTC), but one can also extract information that indicates the quality and nature of the JPEG image compression used by the camera in saving the file. Each digical cameras specifies a compression quality levels, many of them wildly different, leading to the fact that some cameras produce far better JPEG images than others.
What can I do?
Check out a few of the many possible uses for JPEGsnoop!
One of the latest features in JPEGsnoop is an internal database that compares an image against a large number of compression signatures. JPEGsnoop reports what digital camera or software was likely used to generate the image. This is extremely useful in determining whether or not a photo has been edited / tampered in any way. If the compression signature matches Photoshop, then you can be pretty sure that the photo is no longer an original! This type of analysis is sometimes referred to as Digital Image Ballistics / Forensics.
JPEGsnoop reports a huge amount of information, including: quantization table matrix (chrominance and luminance), chroma subsampling, estimates JPEG Quality setting, JPEG resolution settings, Huffman tables, EXIF metadata, Makernotes, RGB histograms, etc. Most of the JPEG JFIF markers are reported. In addition, you can enable a full huffman VLC decode, which will help those who are learning about JPEG compression and those who are writing a JPEG decoder.
Other potential uses: determine quality setting used in Photoshop Save As or Save for Web settings, increasing your scanner quality, locating recoverable images / videos, decoding AVI files, examining .THM files, JPEG EXIF thumbnails, extract embedded images in Adobe PDF documents, etc.
File Types Supported
JPEGsnoop will open and attempt to decode any file that contains an embedded JPEG image, such as:
- .JPG - JPEG Still Photo
- .THM - Thumbnail for RAW Photo / Movie Files
- .AVI* - AVI Movies
- .DNG - Digital Negative RAW Photo
- .CRW, .CR2, .NEF, .ORF, .PEF - RAW Photo
- .MOV* - QuickTime Movies, QTVR (Virtual Reality / 360 Panoramic)
- .PDF - Adobe PDF Documents
* Note that video file formats (such as .AVI and .MOV) are containers, which can include video streams encoded in one of a wide variety of codecs. JPEGsnoop can only interpret this video footage if the codec used is based on Motion JPEG (MJPG).
Download the Latest Version of JPEGsnoop!
Click to Download .ZIP |
Version: 1.4.1 Version History Released: 05/28/2009 Downloads: 53942 |
JPEGsnoop by Calvin HassHelp Support JPEGsnoop DevelopmentIf you have found JPEGsnoop useful and would like to support its continued development, consider making a small contribution. Donations will help encourage me to add new and interesting features. Found an interesting use for the tool? Let me know! |
System RequirementsThis application has been designed and tested to run on Windows XP and Windows Vista, but it should also work for Windows 95/98/NT/2000. LINUX users: JPEGsnoop apparently works on LINUX under wine Terms of UseJPEGsnoop is free for personal and commerial use. Commercial users are kindly suggested to leave me a brief message so that I can understand your needs and make future versions more useful. |
InstallationNo installation required. JPEGsnoop is fully portable. Simply unzip the download and run! Version HistoryFor information about features added in previous versions of JPEGsnoop, please check out the version history page. |
Awards and Recognition for JPEGsnoop
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Documentation
Please see the options page for information on how to use JPEGsnoop and other interesting uses for the tool
Recent Features
- XMP APP1 & ICC Header display
- GPS EXIF metadata display
- Full detailed Huffman VLC decoding output for those interested in writing a decoder or learning JPEG compression
- Automatic display of YCC DC block values (16-bit)
- MCU Grid overlay and automatic display of mouse MCU position and file offset in image display window.
- Test overlay function enhanced to allow quick apply and binary code readout.
- Image zoom level from 12.5% - 800%.
- Extract embedded JPEGs -- can be used to extract thumbnails, hidden JPEG files, as well as frames from Motion JPEG AVI files.
- Compression detection enhanced to detect rotated signatures, comment field.
- Full AVI file parsing (to identify MotionJPEG)
- DQT table searches in Executables (for "hackers")
- Detect edited images or identify original digital camera that took a photo!
- Integrated database of thousands of compression signatures (image fingerprint) for digital cameras and editing software
- File overlay test function
- Multi-channel preview: RGB, YCC, R/G/B, Y/Cb/Cr
- Pixel position lookup into file offset
- Examine Motion JPEG .AVI or .MOV (Quicktime) files (MJPG or MJPEG) and play through!
- Examine any file fragments that may contain a JPEG image
- YCC to RGB Color correction / clipping statistics reports
- Command-line execution
- Huffman variable-length code statistics
- Expansion of DHT (Huffman Table Expansion into bitstrings)
- Determine IJG JPEG Quality factor
Background Material
If you want to understand some of the technical details reported by JPEGsnoop, I suggest that you read through my articles on JPEG compression:
*** Users of Digicams with In-Camera Editing Functions ***
If you own a digital camera that provides in-camera editing functions, and would be interested in helping me out, please leave me a brief message with your contact information.
Suggestions
As this is a work in progress, I would be very interested in hearing from you, particularly for feature requests, suggestions, comments, bug reports, etc. If you currently use JPEGsnoop and find it useful, let me know!





Reader's Comments:
Please leave your comments or suggestions below!My problem's that I have/want to convert JPEGs without huffman tables to ones with (thousands of them; and nope, haven't got the RIFF header of the video ;-) So I basically just wanted to know how to add such a huffman table (see DHT) and think I've found it out now...
well, gonna try automated conversion tomorrow, here its 04:00 a.m. *yawn*
(beside your en-depth background information) a nice source for some info about the JPEG format is en.wikipedia.org ^^
But I have a little trouble: I found a thing, that I cann't understand, in a report of your program, in this point:
[0x000002C0.1]: ZRL=[ 1] Val=[ 2] Coef=[39..40]
Data=[0x 6E FF 00 BE]
[0x000002C2.0]: ZRL=[ 9] Val=[ 2] Coef=[41..50]
Data=[0x 00 BE 96 BD]
(value 0x6E passed normally, but 0xFF wasn't processed)
Possibly that I'm wrong, of course. JPEGsnoop version: 1.3 and 1.4. I'm waiting for your answer. If you would mail me - I should send you a tested picture.
Thank you
If it doesn't look like this is what you are observing, then please email me your sample image. Thx.
I've seen it expressed in meters or millimeters, so wouldn't these be actual measurements? If I take a macro shot that is out of focus, I'm hoping that this measure tells me if I was outside the limits of focus.
It always seemed to me that 12bit would solve the main problem of 8bit JPEG: excessive quantisation error. Particularly when you allow for the mismatch between the sRGB and the YCC space which is also 8bit.
But, apart from DICOM, I can't find any source of 12bit JPEG.
As always it is "supported" by Imagemagick like JPEG-LS which also looks interesting, and EXR. But supported just means you have to recompile the program to add the feature. Not within my capabilities...
I wonder whether, the lack of support is because there is some good reason why 12bit JPEG won't work well with camera images.
Perhaps encoding all of the low level noise would degrade the visible image quality.
All I was looking for was a sensible format, where the files are not too much larger than the DNG that they are created from. After all, the DNG contains all of the information and noise of the image.
The theoretical advantage of JPEG-LS is that you can set the precision you want from the compression. But I haven't found a way of testing it.
Do you have any thoughts on this?
Thank you.
Can this software be use to check whether it has stenographic in the image, like the quantization table has been changed. Please advice
Is that the same thing as focal length?
Note that the encoding of the SubjectDistance parameter has evolved in newer cameras to become a proprietary measurement with unknown units -- hence it may not always be possible to relate this value to the real-world distance to your subject.
TY
I made this suggestion about a year ago, but it was just before you were leaving, so you didn't have time to look into it.
It's my pet topic of EXIF 2.2 camera JPEG sYCC colourspace.
Most software, and I expect JPEGsnoop, treat JPEGs as JFIF (from 1992) but camera JPEGs are EXIF 2.2 (from 2002) i.e. IEC 61966-2-1
EXIF 2.2 calls up the sYCC colourspace which conflicts with JFIF and the ICC specification. This is because sYCC specifies that RGB values are not clipped to 0 to 1, but the whole range is encoded unclipped during conversion from XYZ to rgb to r'g'b'to YCC.
A free version of the equations are in this document: http://www.color.org/sYCC.pdf
This gives a gamut about 50% larger than sRGB.
The problem is that, clipping is not a valid way of dealing with intentional out of range values, because it does not even maintain the correct hue.
It was JPEGsnoop that originally alerted me to what was happening.
I was wondering whether you would add decoding of camera JPEGs in accordance with EXIF 2.2 to JPEGsnoop?
This would need conversion from YCC to r'g'b' to rgb to XYZ without clipping intermediate values to 0 to 1. The whole process would probably be best done in the highest convenient precision, but rgb and XYZ are linear so they need at least 16bit.
It is not possible to use ICM for the conversion because the ICC specification requires RGB to be clipped on input.
If JPEGsnoop could save the XYZ image as 16bit TIFF then it would be useable in other colour managed tools.
Or it could display the gamut of the image on an xy chart, although I suspect that is significantly more work. But it would show users of JPEGsnoop that there is a significant issue with camera JPEGs.
The sample below is the most extreme that I have seen, partly because it contains fluorescent colours, but natural colours like leaves and flowers also produce out-of-range values.
It also shows up a bug in the latest version:
JPEGsnoop 1.3.0 gives 0 for RGB clipping in DC even though there are huge numbers for this photo:
http://www.steves-digicams.com/2007_reviews/c875/samples/100_0178.jpg
RGB histogram in DC (before clip): R component histo: [min= -38 max= 308 avg= 144.2] G component histo: [min= -25 max= 266 avg= 169.6] B component histo: [min= -107 max= 308 avg= 181.4] RGB clipping in DC: R component: [<0= 0] [>255= 0] G component: [<0= 0] [>255= 0] B component: [<0= 0] [>255= 0] RGB histogram in DC (after clip): R component histo: [min= 0 max= 255 avg= 144.1] G component histo: [min= 0 max= 255 avg= 169.6] B component histo: [min= 0 max= 255 avg= 181.6]You've raised an interesting issue. I will take a look at the spec and color conversion in greater detail and see what I can do. At this time, I do have a number of new features on my short-list, but if it seems practical, I'll bump this one up. I have not yet written a TIFF export feature, so I'd need to look into that first. Thanks for providing all of the references and example image.
Here is Jassy's post:
It seems JPEG Snoop also uses APP3 marker (for EXIF) essentially to decode correctly. It seems even if APP2 is absent, its ok, but if APP3 is not present, it gives error, saying "expected marker 0xFF at offset ---"
I don't believe I received a test image from Jassy so if you could email me one, that would be great.
How can I find the image resolution in terms of dpi when my image only reports 1700x2233 pixels and aspect ratio 1:1.
I can not find anywhere either original size or resolution information.
Thanks in advance.
This is tremendously useful. I'd really like to see a command-line version of this, especially one that runs under linux. I know the GUI runs under wine in linux, but a command-line based executable would really aid in batch processing. Thanks for the great utility!
Mike
I do have a similar problem to solve where a number of .mov files were corrupted by the digital camera that took them. I believe the frames should still be recoverable, since the preview is visible on the camera itself, but the videos do not play. Now I believe these are not MJPEGs but MPEGs. Do you know of any similar program that can extract frames from MPEGs?
Thanks,
Andrew
ffmpeg -y -i <filename.mpg> -vframes 1 -ss 00:00:10 -an -vcodec png -f rawvideo -s 320x240 x.png
The parameter after ss is the timestamp.
Many thanks for great tool which jpegsnoop really is! I use it for JPEG FPGA hardware compressor and it helps a lot in debugging and understanding JPEG standard.
I have one issue too: in detailed dump I can see DCT matrix for each 8x8 block. It seems to me that you show DC sample already after differential encoding. I think that at DCT stage DC component is still not-yet-differential, this happens after RLE.
Michal
You've just helped me get back pictures of my daughter that I thought were lost forever...
You are a Wizard, a King, and my Friend.
Thank you,
(I've seen web pages with jpeg compression at 100%.)
Maybe the good people at http://www.smushit.com/ could include it.
Thnx for this great tool
Westworld
I like your tool. But, as far as I know, many photo-editing softwares and cameras use similar/same quantization tables. So, how using the quantization table is possible to say if the photo was edited? Maybe, the camera has a same quantization table like some photo-editing software..??
Linda
Thanks for the reply, in the meantime I tried some more and solved my problem - you were absolutely right, the problem is in the sub-sampling.
The JPEGs converted on the Sandisk device have the following component information:
whereas the ones I've been producing have either
or
for luminance.
I can fix this using cjpeg -sample 2x1:
...and this works! According to the cjpeg docs this option adds more time and size for little difference in quality. The Sandisk device also starts counting at 0 not 1 which seems to be outside the JPEG standard, but regardless of that I can now do a bulk convert. I don't know why all the options are reported as subsamp 1x1 but I guess the difference is in the sampling factor.
Thanks for your help and for a great program.
Most digicams will use "2x1" chroma subsampling by default, as the human eye is less attentive to detail in the color channels (chrominance) versus changes in intensity (luminance). Therefore, most digicams will effectively cut the color "resolution" in half prior to compression. It appears that the Sandisk Photo Album slideshow had optimized their decoder to support only the most common subsampling ratio.
I have same situation with Denisse, Could you please give the deep describe in step2 (for replace the JFIF header - how to extract from the good header and how to replace in the currupt header) May i need the hex editior to do this process
Thank you
Thanks for a really useful program. I have a Sandisk photo album which displays images on a TV, either by scrolling through them manually or displaying them automatically as a slideshow. The slideshow mode is highly dependent on the image format: you have to convert images one by one on the device to set it up. In slideshow mode it simply skips over images not stored in its chosen format, although in manual mode it displays all pictures OK.
It takes a very long to convert each image manually on the device so I'm trying to do bulk conversion on a PC. I've inspected the JPEGs that the device produces and the differences from my normal JPEGs (produced by GIMP or Paintshop Pro) are:
- no APP0 (JFIF) marker at the start, although it seems to work OK if I add one
- only one DQT and DHT marker per file with respectively 2 and 4 tables in them: my normal JPEGs have multiple DQT and DHT markers each with a single table
- the SOF0 comes before the DHT: my normal JPEGs have it after
- the details of the Img sub-sampling components are different
I'm assuming the device is checking something in the JPEG headers to decide whether or not it is going to include it in its slideshow any ideas what it might be doing? Trial and error is taking me too long!Many thanks for any help.
Besides the chroma subsampling, I don't think the other points of difference you list above are likely to be real limitations of the Sandisk photo album's slideshow JPEG decoder. Without seeing some examples of the before & after conversion process, it would be hard for me to determine the exact limitation and therefore deduce the method by which we can pre-convert for faster display.
If you can send me an example photo (before conversion) and result after conversion, I'll see if I can help solve this for you.
Thanks,
Cal.
I have downloaded your tool but don't know how to use it and have to fix my photos urgently...
Could you help me or show the way to use it efficiently please..
Thank you
Unfortunately, some older digicams and cellphones will currently report "likely edited" because of the lack of makernotes and/or presence of EXIF software field info.
I have plans to completely rewrite the image assessment algorithm to handle the various scenarios a bit better. Thanks for pointing this out and stay tuned for an update.
-Raja
I have provided some command line options documented here. Hopefully that helps you do what you need.
Just some suggestions otherwise great software.
Rcmaniac25
With regards to the addition of signatures for modified images, it's important to keep in mind that only the last software program to resave will ultimately dictate the JPEG compression settings. So, even though you edited with Photoshop then MS Paint, the MS Paint settings will dictate the compression signature in the resulting file.
this software is amazing, I have been trying to open some corrupt jpegs for a while, all hope was lost till a friend suggested jpeg snoop. I can now open and export majority of pics.
Thank you
PS.
I would like to make a donation, but it appears you do not accept pay pal???? any other means of donating other then credit card??
first of all, cheers for this sw. It is indeed helpful.
I am trying to analyze the output of a 12-bit jpeg encoder. When I use the DHT table below for the encoding, I receive the following error:
If I keep ignoring the errors, sw analyzes the data and on the report I see this error
BUT
The image seems alright when I check it with a viewer I use.
So my question is:
Is this problem relaying on JpegSnoop or my way of Jpeg encoding?
Looking forward to your reply
JPEGsnoop 1.2.0 by Calvin Hass
www.impulseadventure.com/photo/
-------------------------------
Filename: [F:\Greenwich Village.JPG]
Filesize: [883402] Bytes
Start Offset: 0x00000000
NOTE: File did not start with JPEG marker. Consider using [Tools->Img Search Fwd] to locate embedded JPEG.
No other tools change anything.
Thanks for the wonderful software.
Small issue : I am not able to see the text inside the UI Properly. Its somewhat Garbeled. I think there is some issue with the font. i will try to update a snapshot but i just wanted to bring this to ur notice.
Regards
Gururaja
one of my tools generated the Huffman table below. In my opinion this is not a valid jpg Huffman table (the code "1" is not allowed).
JPGsnoop reads and displays such a jpg image fine. Maybe it should complain about such an invalid Huffman table?
Great tool!
Frank
*** Marker: DHT (Define Huffman Table) (xFFC4) ***
OFFSET: 0x000000B1
Huffman table length = 21
----
Destination ID = 0
Class = 0 (DC / Lossless Table)
Codes of length 01 bits (002 total): 08 00
Codes of length 02 bits (000 total):
Codes of length 03 bits (000 total):
Codes of length 04 bits (000 total):
Codes of length 05 bits (000 total):
Codes of length 06 bits (000 total):
Codes of length 07 bits (000 total):
Codes of length 08 bits (000 total):
Codes of length 09 bits (000 total):
Codes of length 10 bits (000 total):
Codes of length 11 bits (000 total):
Codes of length 12 bits (000 total):
Codes of length 13 bits (000 total):
Codes of length 14 bits (000 total):
Codes of length 15 bits (000 total):
Codes of length 16 bits (000 total):
Total number of codes: 002
Expanded Form of Codes:
Codes of length 01 bits:
0 = 08 (Total Len = 9)
1 = 00 (EOB) (Total Len = 1)
Thanks for very great job!
Here's the data:
Data copied and pasted from a hex editor:
FF DB 00 C5 00 04 03 03 03 03 02 04 03 03 03 04
04 04 05 06 0A 06 06 05 05 06 0C 08 09 07 0A 0E
0C 0F 0E 0E 0C 0D 0D 0F 11 16 13 0F 10 15 11 0D
0D 13 1A 13 15 17 18 19 19 19 0F 12 1B 1D 1B 18
1D 16 18 19 18 01 04 04 04 06 05 06 0B 06 06 0B
18 10 0D 10 18 18 18 18 18 18 18 18 18 18 18 18
18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
18 18 18 18 18 18 02 04 04 04 06 05 06 0B 06 06
0B 18 10 0D 10 18 18 18 18 18 18 18 18 18 18 18
18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
18 18 18 18 18 18 18 FF C4
Copy and paste from JPEGsnoop:
*** Marker: DQT (xFFDB) ***
Define a Quantization Table.
OFFSET: 0x00001C49
Table length = 197
----
Precision=8 bits
Destination ID=0 (Luminance)
DQT, Row #0: 4 3 2 4 6 10 12 15
DQT, Row #1: 3 3 3 5 6 14 14 13
DQT, Row #2: 3 3 4 6 10 14 17 13
DQT, Row #3: 3 4 5 7 12 21 19 15
DQT, Row #4: 4 5 9 13 16 26 25 18
DQT, Row #5: 6 8 13 15 19 25 27 22
DQT, Row #6: 12 15 19 21 25 29 29 24
DQT, Row #7: 17 22 23 24 27 24 25 24
Approx quality factor = 88.05 (scaling=23.90 variance=1.21)
----
Precision=8 bits
Destination ID=1 (Chrominance)
DQT, Row #0: 4 4 6 11 24 24 24 24
DQT, Row #1: 4 5 6 16 24 24 24 24
DQT, Row #2: 6 6 13 24 24 24 24 24
DQT, Row #3: 11 16 24 24 24 24 24 24
DQT, Row #4: 24 24 24 24 24 24 24 24
DQT, Row #5: 24 24 24 24 24 24 24 24
DQT, Row #6: 24 24 24 24 24 24 24 24
DQT, Row #7: 24 24 24 24 24 24 24 24
Approx quality factor = 87.95 (scaling=24.11 variance=0.22)
----
Precision=8 bits
Destination ID=2 (Chrominance)
DQT, Row #0: 4 4 6 11 24 24 24 24
DQT, Row #1: 4 5 6 16 24 24 24 24
DQT, Row #2: 6 6 13 24 24 24 24 24
DQT, Row #3: 11 16 24 24 24 24 24 24
DQT, Row #4: 24 24 24 24 24 24 24 24
DQT, Row #5: 24 24 24 24 24 24 24 24
DQT, Row #6: 24 24 24 24 24 24 24 24
DQT, Row #7: 24 24 24 24 24 24 24 24
Approx quality factor = 87.95 (scaling=24.11 variance=0.22)
*** Marker: DHT (Define Huffman Table) (xFFC4) ***
Thanks!
George
When JPEGsnoop generates and compares a signature, it is considering a number of characteristics about the image in addition to the DQT. However, the DQT tables do make up the majority of this comparative data.
You correctly identified the DQT section within the JFIF file in your hex editor output. If you skip past the marker (FF DB) and additional data (00 C5 00), you begin the raw table contents.
The part that may not be immediately obvious is that the sequence of bytes in the file does not match the matrix representations that most people use to document the quantization tables. That is because a zig-zag ordering method is used (please refer to my page on JPEG compression for some further detail on it). In essence, you'll still identify the table's bytes in the file bytestream if you traverse them in the following order:
Start at the 04 (top left corner of DQT matrix), then across to 2nd column (03). Advance diagonally down and to-the-left (only one move brings us to 1st col, 2nd row = 03). Now we drop down one row (to 1st col, 3rd row = 03) and head back up diagonally up and to-the-right (03 02). We continue this zig-zag sequence until we've hit all entries in the matrix!
Hopefully this makes it a little clearer. Ideally, I should draw up a diagram to help indicate the sequencing.
I know it's too much, but I'm curious if there's a too for all formats, or separate tools for each format.
thks for replied , I finished my dec/enc but i am facing problem while in Linux Platform, The output of the encoder is showing 0 byte file, plz tell is it any specific writing format in linux or JPEG header may i have to change..
waiting for reply..
regards,
giri
I was wondering whether you would consider adding the ability to export the image to a file in XYZ colourspace, decoded in accordance with the sYCC specification, i.e. using unclipped rgb values and the gamma encoding mirrored about zero. Ideally calculated with 16bit precision to a 16bpc tiff.
Since I posted here last summer I have only found two programs that seem to understand the sYCC colourspace. It is strange when more than 100million cameras are produced each year that encode to this space. I don't know whether it is the NIH factor or just that the camera makers speak Japanese and the sofware writers speak English and they don't understand each other.
One issue is that the ICC specification annex F requires clipping of rgb, so sYCC cannot be handled directly in a colour managed system.
The two programs are Silkypix (which is Japanese) and QPcolorsoft which I am using.
QPcolorsoft is software for color matching to a target. It simply adjusts the colours and saves to AdobeRGB colourspace as a JPEG or TIFF. Because it removes the oversaturation and saves to a larger colourspace it reduces the clipping. But it is noticeable that it will still save out-of-range colours back to a JPEG. So it seems to understand sYCC for both loading and saving.
If JPEGsnoop could export an XYZ tiff, it should be possible to load it into a colour managed application. Or failing that, use TIFFICC to convert to another colourspace and do gamut checking to see how much damage was being done.
It would be interesting to be able to compare a camera JPEG "perfectly decoded" by JPEGsnoop with the clipped version most programs produce.
It seems even if APP2 is absent, its ok, but if APP3 is not present, it gives error, saying
"expected marker 0xFF at offset ---"
I tried to disable "show maker notes", but nothing changes. Do you have a hint?
I found your JPEGSnoop tool two weeks ago, and it is quite exactly what I need to analyze problems with JPEG codecs. The format of the detailed decode with the bitstream is very useful.
The only problem is that the detailed decode sometimes stops to consume bits and to decode at places where there is not even an error in the stream. E.g. I have some images where it stops at a certain point when I make a detailed decode from beginning, but when I start the detailed decode at a later MCU, it decodes this part correctly. If you are interested I can send you such an image with details how to reproduce this problem.
Many thanks & best regards,
Michael
I saved file to m_sfw.jpg with quality 60, extracted tables with JpegSNOOP, and use them as input for cjpeg.exe.
..\cjpeg.exe -sample 1x1,1x1,1x1 -qtables sfw_60.txt -optimize -dct float m.bmp result.jpg
But cjpeg version still has much more noise then photoshop version.
Which another tricks does the SFW use?
images, .bat conversion file - http://files.shapegame.ru/fileshare/public/compare_cjpeg_sfw.zip
The differences are especially noticeable in some of the MCUs near the bottom of the girl's pink dress (beside the yellow trim).
It looks like Photoshop is doing a better job at avoiding some of the compression artefacts that cjpeg is producing. It is possible that Photoshop might be doing some smoothing on the bitmap data before passing it to the compression routine (even though Photoshop's Blur setting in the Save for the Web dialog may be set to 0). It is also possible that the color conversion algorithm (RGB -> YCC) differs, but that doesn't appear to be the cause.
Do you have a plan on MPEG/H.264 for the same thing?
I can not find a competent product in the market.
Considering the amount of video streams that torture my hard disk everyday, it would be good to have MPEGsnoop.
JPEG Snoop has helped me a lot while trying to create a binary to JPEG image converter. But i have some skewed images being created. I am writing the code in matlab and am not able to find the error. Whats ur email, as I would like to email you the image to see if you can find the where the errors are created.
Am currently studying about jpeg images.I think it wud great if decoder supports also non-interleaved and progressive images.In non-interleaved images,i see that its able to decode only the luminance part and not the chrominance part
Cheers
Shobana
I would like to convey what your work has enabled me to accomplish.
Some months ago, I had a fairly bad disk crash that resulted in a bunch of jpg files being concatenated as lost clusters and recovered by Norton Disk Doctor upon reboot (98SE/FAT32 here). At the time, I had little clue as to how to proceed with them, so I just archived the lot and stuck them away, practically forgetting them in the interim.
Later, I found jpeg analyser console app, which at least gave me the offsets to look for in a hex editor, and through a series of copy and paste operations was able to recover the images out of two of the concatenated .ndd files. It took so long though that it was easier to just put the whole matter off.
Then I found your site, and impressed as I was with the general knowledge, had my sox blown off by the presence of JPEGSnoop. It wasn't until a couple days later even that I decided to load one of the .ndd files in it, then got to poking around in the menus and found a dedicated function to seek to the next SOI marker, and yet another to save as a separate file.
I actually couldn't believe it; almost turned inside out (ewww!). Well, I got the job of recovery done in around two hours over 16 or so .ndd files, recovering some 170 usable jpgs, thanks to JPEGSnoop.
Had it been left to the hex editor method, the .ndd files would in all probability be still sitting there, waiting for me to complete a job for which the word "tedium" is a underscored understatement.
Many thanks!
Is there any way to detect the brightest pixel using JpegSnoop? Im looking for a command line tool that will allow me to screen images for the brightest pixel and dump those coordinates to a file or db.
As for detecting the brightest pixel, I can definitely add this. A few others have asked for something similar -- it may even allow for the image whitepoint / white balance to be determined. I'll add it to my list.
NOTE: I am on vacation, so comments will not be posted until I return. Thanks!