Weighted Denoising With Multi-Spectral Decomposition for Image Compression
نویسنده
چکیده
A modified approach to image compression is proposed in this paper. The objective of image compression based on multi spectral representation is developed. The denoising process of image coding is improvised so as to achieve higher processing accuracy with high PSNR value. A multi wavelet coding with a modified weighted filtration approach is proposed. The simulation observation evaluates the proposed approach and the comparative analysis of the proposed approach presents the improvement in coding efficiency. KEYWORD: Image compression, Multi spectral coding, preprocessing, and denoising.
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تاریخ انتشار 2015