• Anjali

Lossless flag & image compression is essential for some applications where immaculate exactness is required. The proficient stockpiling & correspondence of medicinal images is one of the fundamental uses of lossless image compression. In this work we propose another wavelet-based lossless image coder that depends on a cutting edge calculation, to be specific SPIHT (set apportioning in progressive trees). An algorithmic adjustment is acquainted all together with increment its effectiveness. An enhanced lossless coding technique for the notable wavelet change based calculation SPIHT is introduced named ESPIHT. This strategy keeps up the capacity of dynamic transmission & produces a completely implanted piece stream. The outcomes acquired on various dark scales & shading images demonstrate noteworthy enhancements of the proposed coder over the traditional SPIHT.

Lossless Image Compression, SPIHT , PSNR , Compression Ratio

"Comparative Analysis of Lossless Image Compression: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.67-75, June 2019, Available :http://www.jetir.org/papers/JETIR1907L64.pdf

"Comparative Analysis of Lossless Image Compression: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp67-75, June 2019, Available at : http://www.jetir.org/papers/JETIR1907L64.pdf