Matlab code for JPEG2000 Image Compression Standard.

As digital imagery becomes more commonplace and of higher quality, there is a need to manipulate more and more data. Thus, image compression must not only reduce the necessary storage and bandwidth requirements, but also allow extraction for editing, processing, and targeting particular devices and applications. The JPEG-2000 image compression system has a rate-distortion advantage over the original JPEG. More importantly, it also allows the extraction of different resolutions, pixel fidelities, regions of interest, components, and more, all from a single compressed bit-stream. This allows an application to manipulate or transmit only the essential information for any target device from any JPEG 2000 compressed source image.

Block Diagram: 

Transmitter:

Fig: JPEG2000 Transmitter

Input Image:

The input image is a grayscale image. The file type of that image is .bmp (Bitmap file format) or RAW (Raw image format). These formats are uncompressed hence they are large. 

Wavelet Transform:

The purpose served by the Wavelet Transform is that it produces a large number of values having zero, or near zero, magnitudes.

Quantization: 

After the wavelet transform, the coefficients are scalar-quantized to reduce the number of bits to represent them, at the expense of quality. The output is a set of integer numbers that have to be encoded bit-by-bit. The parameter that can be changed to set the final quality is the quantization step: the greater the step, the greater is the compression and the loss of quality. With a quantization step that equals 1, no quantization is performed (it is used in lossless compression).

Here yb[n] denotes the sample of subbands, while qb[n] denotes the quantization indices

EBCOT Coding Passes:  

Significance Propagation Pass: 
If a bit is insignificant (=0) but at least one of its eight neighbors is significant (=1), then it is encoded. 

Magnitude Refinement Pass: 
During this pass, all bits that become significant in previous Bitplane, are coded. 
Clean-up Pass: 
This is a final pass. All bits not encoded in the previous two passes are encoded. 

Receiver:

Fig: JPEG2000 Receiver 

MATLAB GUI of JPEG2000 Image Compression standard:

Fig: Sample GUI

 Fig: GUI with Various Parameters 

Video of the Code:

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