Special Issue Article
Technique for Detecting Memory Errors in JPEG2000 Standard
the fast growth of image compression has greatly elevated to diminish memory size without lowering the quality of an image. This paper imparts adaptive memory compensation errors in JPEG2000. Furthermore, we use algorithmic techniques such as Discrete Wavelet Transform to satisfy memory consumption and propose Huffman coding, MQ-Coding for adjusting the memory errors. The Huffman coder can be used to shrink and store large amount of input in a memory. These techniques do not wish any additional memory can minimize the memory requisite having the less computation complexity with larger size and power consumption. The proposed architecture is to use Set Partitioning in Hierarchical Trees in extension with Discrete Wavelet Transform. It is used to increase the image condition as well as the compression rates. By this method, memory errors can be eliminated. The image quality can be increased. It decreases the coefficient value and increases the quality of the image.