Image Compression Using Wavelet Transform
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Resource Overview
This method primarily utilizes wavelet transform for image compression and evaluates compression performance by calculating key metrics including compression ratio and signal-to-noise ratio (SNR) of the compressed image.
Detailed Documentation
This technique focuses on implementing image compression through wavelet transform. The compression process involves calculating performance metrics such as compression ratio and signal-to-noise ratio to assess the effectiveness of the compression algorithm. The implementation typically includes applying multi-level wavelet decomposition, thresholding coefficients for quantization, and reconstructing the image using inverse wavelet transform while monitoring quality degradation.
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