… This work compares the performance of Image compression obtained with SPIHT Algorithm
combined with Optimized Curvelet transform against conventional techniques like Support …

… Moreover, the SPIHT technique is self-adaptive and offers a high PSNR value for image
compression applications. The main drawback of SPIHT is that it uses three lists to store the …

… the lossy compression method was adopted as one of the solutions that reduce the size of
the data required to compress the image, through the process of compression of digital image …

… Te proposed compression algorithm has a similar partition rule as 3D•SPIHT 17] and 3D•NLS
20] … Te function• ality of the lists in 3D•SPIHT is performed by the fixed size markers in 3D•…

… Therefore, researchers have been exploring new MGA-based image compression … image
coding schemes. In addressing this problem, this paper proposes an image data compression …

… method used in medical image compression system. This … in medical image compression
mainly in terms of compression … overall picture of the medical image compression landscape, …

… image compression algorithm based on DCT and modified set partitioning in hierarchical
trees (SPIHT) is … algorithm [18], curvelet-based compression algorithm [19], and ripplet-based …

… transform and then the sub bands were encoded by suing SPIHT. Results showed better
performance than curvelet based methods. A summary of reviewed papers is given in Table.1. …

… image compression algorithm is studied in [20]. This article is based on two curvelet-based
compression … just seen is significantly different because SPIHT considers two types of zero …

… , it is advantageous for use in image compression if the coefficient of neglect is large [33–35].
The 3D-MELS follows the same partition rule as 3D-SPIHT and 3D-NLS. It has been clear …