COMPARATIVE ANALYSIS OF DS AND IDS ALGORITHMS IN SUPER-SPATIAL STRUCTURE PREDICTION FOR MEDICAL IMAGE SEQUENCES

With the rapid growth of digital technology the demand to preserve raw image data for further processing is increasing. In medical industry the images are generally in the form of sequences which are much correlated. These images are very important and hence lossless image compression is needed to reproduce the original quality of the image without any loss of information. The correlation among the image sequences is exploited by interframe coding. Interframe coding includes Motion Estimation and Motion Compensation process supported by the Block Matching Algorithm. There are various block matching algorithms. The proposed method has taken Diamond Search and Inverse Diamond Search for comparison. The algorithms are used in Super-Spatial Structure Prediction to achieve high compression ratio. Results are compared in terms of compression ratio and search points to the prior arts.