Amalgamation of Singular Value Decomposition to JPEG for Enhanced Performance

摘要: The demand of digital information compression is increasing dramatically because the dominance multimedia technology and limitations physical media for handling huge amount information. Compression reduces storage transmission burdens raw by reducing ubiquitous redundancy without losing its entropy significantly. image manipulation that occupies a significant position in necessitated development joint photographic experts group (JPEG) technique, which has proved usefulness so far. Until recently, to minimize blocking artifact, inherently present JPEG at higher ratios, JPEG2000 devised makes use wavelet function. In this work, new approach technique proposed enhanced performances comparison with aforesaid techniques. considers both discrete cosine transform (DCT) singular value decomposition (SVD) method reconstruction sides instead using DCT only. incorporation SVD nearest neighborhood improved A rigorous various indices are made validate algorithm. This named as 'Hybrid JPEG' (HJPEG) paper. benchmark still 'LENA' used performance comparison.