JP4 format is based on JPEG compression, it was originally developed at Elphel for accurate representation of the scanned book pages and later used in other applications that involve post-processing. This format is supported in both NC353 series and current NC393 series cameras. The standard JPEG was developed to compress images so they visually are almost the same as uncompressed but are significantly smaller in size. The goal of JP4 is camera-centric, not human-centric. It tries to preserve as much as possible of the information from the camera sensor (ideally "raw") while providing reasonable compression. The most damaging part of the color JPEG compression is the de-mosaic part of it. "Lossy" part of the compression (quantization after DCT) can be eliminated with setting compression quality to 100% that effectively disables quantization. Dynamic range compression ("gamma conversion") is usually designed to be lower than the sensor shot noise - significant for most modern small-pixel (and so low full-well capacity) sensors. That leaves the demosaic ("guessing" the missing colors in Bayer mosaic sensor outputs) a single most damaging operation. In the camera this is usually done by processing data in 3x3 or 5x5 pixel blocks and it is difficult to distinguish between variations (especially sharp) in intensity and the color tone. There are much more advanced algorithms that can be used during post-processing that will provide much better results, but they require "raw" sensor data. Or - the data saved in JP4 format.
Here is a JP4 Demo that illustrates this algorithm and how it is related to standard JPEG.
JP4 mode bypasses the demosaic/color converiosn in the FPGA and provides an image with pixels in each 16x16 macroblock that are rearranged to separate Bayer colors in individual 8x8 blocks, then encoded as monochrome. Demosaic will be applied during post-processing on the host PC. This section describe different algorithms and implementations used to provide this functionality.
- compression speed improvement
- possibility to obtain more high quality image (near to RAW)
- drasticaly lowering data size
Different JP4 Modes in 8.X Software
only modes 0-2 can be processed with standard libjpeg:
- 0 - mono6, monochrome (color YCbCr 4:2:0 with zeroed out color componets)
- 1 - color, YCbCr 4:2:0, 3x3 pixels
- 2 - jp46 - original JP4 (from 7.X software), encoded as 4:2:0 with zeroed color components
- 3 - jp46dc, modified jp46 so each color component uses individual DC diffenential encoding
- 4 - reserved for color with 5x5 conversion (not yet implemented)
- 5 - jp4 with ommitted color components (4:0:0)
- 6 - jp4dc, similar to jp46dc encoded as 4:0:0
- 7 - jp4diff, differential where (R-G), G, (G2-G) and (B-G) components are encoded as 4:0:0
- 8 - jp4hdr, (R-G), G, G2,(B-G) are encoded so G2 can be used with high gain
- 9 - jp4fiff2, (R-G)/2, G,(G2-G)/2, (B-G)/2 to avoid possible overflow in compressed values
- 10 - jp4hdr2, (R-G)/2, G,G2,(B-G)/2
- 14 - mono, monochrome with ommitted color components (4:0:0)
Bayer pattern look like this
The remark: all kinds of bayer patterns can be received from initial RGGB by flipping on X and/or Y.
Some sensors have possibility to set independed scale to G1 and G2. Considering that the accessible optics does not give the full permission of a sensor resolution, it can be used for increase in a dynamic range of a image sensor.
JP46 processing on the host
JP46 image decoding in MATLABJP4 format can be easy manipulated by MATLAB
1. Read image
I=imread('hdr02.jp4'); %read JP4 file like JPEG ,or online grab image from http like this: I=imread('http://community.elphel.com/pictures/jp4.jpg'); ,or cam: I=imread('http://cam_ip/bimg'); %get online buffered image from cam
I=I(:,:,1); %strip color data2. Remove block grouping
II=deblock16x16(I); %deblock image
%file deblock16x16.m function y=deblock16x16(I) y0=uint8(zeros(size(I))); for x=1:16:size(I,1) for y=1:16:size(I,2) blk16=I(x:x+15,y:y+15); for dx=0:7 for dy=0:7 y0(x+2*dx ,y+2*dy) = blk16(dx+1,dy+1); y0(x+2*dx+1,y+2*dy) = blk16(dx+9,dy+1); y0(x+2*dx ,y+2*dy+1) = blk16(dx+1,dy+9); y0(x+2*dx+1,y+2*dy+1) = blk16(dx+9,dy+9); end end end end y=y0;
2. Demosaic image (Decode from Bayer CFA (Color Filter Array) encoded image)
3. Show image
JP46 to DNG image conversion
See Movie2dng for conversion of JP4 movies to DNG.
Credits: Dave Coffin
This Linux command line tool allows conversion of JP4 files into a DNGs that dcraw and Adobe Photoshop can open.
Download LibTIFF v3.8.2
- extract the tar.gz (this should create a new folder called "tiff-3.8.2")
Apply this patch: in terminal (first cd to path of libtiff.patch):
patch -p0 < libtiff.patch
cd tiff-3.8.2 ./configure make sudo make install
Then compile this C program with:
gcc -o elphel_dng elphel_dng.c -ltiff -Wl,--rpath=/usr/local/lib
With Ubuntu 9.04 (and later) its possible that the wrong libtiff is selected automatically which results in a error like this when using the compiled application:
TIFFSetField: test.dng: Unknown tag 33421. TIFFSetField: test.dng: Unknown tag 33422. Segmentation faul
To solve that problem compile with this line forcing a specific libtiff version
gcc -o elphel_dng elphel_dng.c -lm /usr/local/lib/libtiff.so.3.8.2 -Wl,--rpath=/usr/local/lib
Then use the created application:
Usage: ./elphel_dng "gamma" "input.jpg" "output.dng" Example: ./elphel_dng 100 example_JP4.jpeg example.dng
JP46 video stream decoding using MPlayer
JP46 stream can be decoded by MPlayer. Use this [this patch]
patch . -p0 < debayer.diff in the mplayer source dir
Or download win32 binaries from sourceforge.
usage example: mplayer.exe test.avi -vf demosaic=deblock=1:method=7:pattern=3 -vo gl mencoder example: mencoder.exe test.avi -ovc lavc -lavcopts vcodec=mjpeg -o output.avi -vf demosaic=deblock=1:method=1,scale
Debayer (Demosaic) algorithm variants provided by libdc1394: - Nearest Neighbor : OpenCV library - Bilinear : OpenCV library - HQLinear : High-Quality Linear Interpolation For Demosaicing Of Bayer-Patterned Color Images, by Henrique S. Malvar, Li-wei He, and Ross Cutler, in Proceedings of the ICASSP'04 Conference. - Edge Sense II : Laroche, Claude A. "Apparatus and method for adaptively interpolating a full color image utilizing chrominance gradients" U.S. Patent 5,373,322. Based on the code found on the website http://www-ise.stanford.edu/~tingchen/ Converted to C and adapted to all four elementary patterns. - Downsample : "Known to the Ancients" - Simple : Implemented from the information found in the manual of Allied Vision Technologies (AVT) cameras. - VNG : Variable Number of Gradients, a method described in http://www-ise.stanford.edu/~tingchen/algodep/vargra.html Sources import from DCRAW by Frederic Devernay. DCRAW is a RAW converter program by Dave Coffin. URL: http://www.cybercom.net/~dcoffin/dcraw/ - AHD : Adaptive Homogeneity-Directed Demosaicing Algorithm, by K. Hirakawa and T.W. Parks, IEEE Transactions on Image Processing, Vol. 14, Nr. 3, March 2005, pp. 360 - 369.
Pattern codes: pattern=0..3 -> [RGGB, BGGR, GBRG, GRBG]
Avisynth plugin for JP46 processing
Avisynth plugin also available
AVS script example:
LoadCPlugin("jp4.dll") DirectShowSource("test.avi") JP4("AHD","RGGB")
GStreamer plugins for Elphel JP4 image and video processing
- the jp462bayer plugin converts color and monochrome JP46 Elphel bitstreams to Bayer raw format. In the future, it might support other JP4 modes (JP4, JP4-HDR, ...)
- bayer2rgb2 converts raw Bayer streams to RGB images
jp462bayer: JP4 to Bayer
After jpegdec, re-arranges the pixels in Bayer format.
It offers the same features as the legacy bayer2rgb, but by wrapping Libdc1394's debayering algorithms you can choose the interpoloation algorithm between : simple, bilinear, hqlinear, downsample, edgesense, vng, ahd, nearest
gst-launch-0.10 rtspsrc location=rtsp://elphel:554 protocols=0x00000001 ! rtpjpegdepay ! jpegdec ! \ queue ! jp462bayer ! queue ! bayer2rgb2 ! queue ! ffmpegcolorspace ! videorate ! "video/x-raw-yuv, \ format=(fourcc)I420, width=(int)1920, height=(int)1088, framerate=(fraction)25/1" ! xvimagesink sync=false max-lateness=-1
eLynx Image Processing SDK and Lab libdc1394 Efficient, high-quality Bayer demosaic filtering on GPUs http://svn2.assembla.com/svn/ge/libgedrawing/trunk/src/ImageBayer.cpp
For more colorful examples please visit http://cinema.elphel.com/still-images