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- W2966724721 abstract "Color Image Compression has nowadays become a commonly used method for representing data present in images as few bits as possible by removing data redundancy along with maintaining an appropriate image quality level for the user. In recent years, various algorithms on quaternion based color image compression have been proposed. Thus in this paper, a novel lossy image compression algorithm based on Bit-Plane Reduction and Singular Value Decomposition is proposed. Here, two different types of implementation using these two techniques are shown. In both the methods, a color image is first decomposed into its three different planes i.e. red, green and blue. Then, matrices are formed by concatenation of these on which the bit plane reduction is done and after that SVD is applied to improve the PSNR values. Thus, two methods based on real SVD and quaternion SVD is implemented and their results are compared in terms of various fidelity factors such as PSNR, SSIM, MSE, and CR." @default.
- W2966724721 created "2019-08-13" @default.
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- W2966724721 date "2019-01-01" @default.
- W2966724721 modified "2023-09-26" @default.
- W2966724721 title "Lossy Color Image Compression Technique using Reduced Bit Plane-Quaternion SVD" @default.
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- W2966724721 doi "https://doi.org/10.1109/confluence.2019.8776990" @default.
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