Image Compression
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Resource Overview
In JPEG compression, an image is divided into 8x8 pixel blocks for sub-block compression using discrete cosine transform and quantization techniques.
Detailed Documentation
In JPEG image compression, an image is partitioned into multiple 8x8 pixel blocks. Each block undergoes a discrete cosine transform (DCT) where pixel values are converted into frequency-domain coefficients. These coefficients are then quantized using a predetermined quantization table that reduces high-frequency components while preserving essential visual information. The quantization step is followed by entropy encoding (typically Huffman coding) to achieve efficient compression. This approach allows JPEG to maintain high image quality while significantly reducing file size, facilitating easier sharing and transmission over the internet. Implementation typically involves using libraries like libjpeg or MATLAB's image processing toolbox, where key functions include dct2() for transformation and quantization matrices for coefficient reduction.
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