Gaussian Filter-Based Image Compression Algorithm
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The Gaussian filter-based image compression algorithm serves as a highly efficient image processing technique. This algorithm not only processes both true-color and grayscale images but also significantly reduces image file sizes while maintaining visual quality, thereby conserving storage space. The implementation typically involves applying Gaussian convolution kernels with specific sigma values to achieve frequency domain separation, where high-frequency components are selectively attenuated while preserving essential low-frequency information. This approach proves extremely practical for real-world applications across various domains including digital image processing, network transmission, and embedded systems. Whether in research fields or engineering practices, the Gaussian filter-based compression algorithm demonstrates broad application prospects through its balance of compression ratio and quality preservation.
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