Texture Based Biomedical Image Compression

Abstract

In Telemedicine, huge amount of information is stored in digital form. As the imaging techniques produce prohibitive amount of data, compression is necessary for storage and communication purpose. Image compression is used to reduce the redundancies and irrelevant information in image and represents it in shorter manner to achieve efficient archiving and transmission of images. Many current compression schemes provide a very high compression rate but with loss of quality of Image. The approach presented in this paper offers great potential in complete lossless compression of the biomedical image with the reconstructed image being mathematically identical to the original image. Here edges and textures are considered as the basic parameters in this compression algorithm. Edges are the boundaries of surface markings as well as curves that corresponds to the discontinuities in surface orientation. Texture can be defined as the property of all surfaces that describes visual patterns and contains important information about the structural arrangement of the surfaces. This paper also compares texture based biomedical image compression technique with other compression techniques.