Image Compression

DCT based image compression followed by quantization and dequantization reduces the size of the image. Lossy type image compression.
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Updated 20 Oct 2019

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This is a simple DCT(Discrete Cosine Transform ) based image compression code. The concept used was to apply DCT on 8*8 block of the input image followed by quantization will result in zeroing out of many DCT coefficients. Then after inverse quantization and inverse discrete cosine transform, we will get an error to decode the image from the input image. Perceptually the error will be very small show we will observe any changes in image quality and the file size decreases.

Cite As

buddhadeb das (2024). Image Compression (https://www.mathworks.com/matlabcentral/fileexchange/73075-image-compression), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0