Abstract
The advent of modern image processing concepts and cutting edge solutions, various architectures of image compression have reached every individual electronic gadgets and embedded systems. Many such designs were suggested and tried, gratifying the present day requirements of electronic industry. On these grounds, the proposed system deals with addressing the consequences of hybrid system, which employs low rank matrix SVD and a modified variable vector quantization matrix DCT in image compression. The efficiency of such proposed system is evaluated with the help of MSE, PSNR, CR, bpp and percentage space saving. DCT alone proves to be better technique over the SVD-DCT hybrid method.
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Dixit, M.M., Vijaya, C. (2019). Effects of Hybrid SVD–DCT Based Image Compression Scheme Using Variable Rank Matrix and Modified Vector Quantization. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 32. Springer, Singapore. https://doi.org/10.1007/978-981-10-8201-6_57
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DOI: https://doi.org/10.1007/978-981-10-8201-6_57
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