ProgramsView all programs
From the news
- Chancellor Amma Addresses the Parliament of World’s Religions
- Amrita Students Qualify for the European Mars Rover Challenge
Publication Type : Conference Paper
Publisher : International Society for Optics and Photonics
Source : Medical Imaging 2003, International Society for Optics and Photonics (2003)
Campus : Amritapuri
School : School of Engineering
Department : Electronics and Communication
Year : 2003
Abstract : In this paper, we propose a block-based conditional entropy coding scheme for medical image compression using the 2-D integer Haar wavelet transform. The main motivation to pursue conditional entropy coding is that the first-order conditional entropy is always theoretically lesser than the first and second-order entropies. We propose a sub-optimal scan order and an optimum block size to perform conditional entropy coding for various modalities. We also propose that a similar scheme can be used to obtain a sub-optimal scan order and an optimum block size for other wavelets. The proposed approach is motivated by a desire to perform better than JPEG2000 in terms of compression ratio. We hint towards developing a block-based conditional entropy coder, which has the potential to perform better than JPEG2000. Though we don't indicate a method to achieve the first-order conditional entropy coder, the use of conditional adaptive arithmetic coder would achieve arbitrarily close to the theoretical conditional entropy. All the results in this paper are based on the medical image data set of various bit-depths and various modalities.
Cite this Research Publication : S. V. Bharath Kumar, Nagaraj, N., Mukhopadhyay, S., and Xu, X., “Block-Based Conditional Entropy Coding for Medical Image Compression”, in Medical Imaging 2003, 2003.