Hierarchical Image Compression with Clustered Image Representation in Natural Images

Image compression is an extended research area from a long time. Various compression schemes were developed for the compression of image in gray scaling and color image compression. Basically the compression is focused for lossy or lossless color image compression based on the need of applications. Where lossy compression are higher in compression ratio but are observed to be lower in retrieval accuracy. Various compression techniques such as JPEG and JPEG-2K architectures are developed to realize such and method. But with the need in high accuracy retreivation these techniques are not suitable. To achieve nearby lossless compression various other coding methods were suggested like lifting scheme coding. This coding result in very high retrieval accuracy but gives low compression ratio. This limitation is a bottleneck in current image compression architectures. So, there is a need in the development of a compressing approach where both higher compression as well as higher retrieval accuracy is obtained.