Paper
17 April 1995 DCT-based scheme for lossless image compression
Giridhar D. Mandyam, Nasir Ahmed, Neeraj Magotra, Nasir U. Ahmed
Author Affiliations +
Proceedings Volume 2419, Digital Video Compression: Algorithms and Technologies 1995; (1995) https://doi.org/10.1117/12.206386
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
In this paper, a new method to achieve lossless compression of 2D images based on the discrete cosine transform (DCT) is proposed. This method quantizes the high energy DCT coefficients in each block, finds an inverse DCT from only these quantized coefficients, and forms an error residual sequence to be coded. Furthermore, a simple delta modulation scheme is performed on the coefficients that exploits correlation between high energy DCT coefficients in neighboring blocks of an image. The resulting sequence is compressed by using an entropy coder, and simulations show the results to be promising and more effective than just simply performing entropy coding on original raw image data.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giridhar D. Mandyam, Nasir Ahmed, Neeraj Magotra, and Nasir U. Ahmed "DCT-based scheme for lossless image compression", Proc. SPIE 2419, Digital Video Compression: Algorithms and Technologies 1995, (17 April 1995); https://doi.org/10.1117/12.206386
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Cited by 6 scholarly publications.
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KEYWORDS
Image compression

Quantization

Data storage

Image storage

Image transmission

Modulation

Biomedical optics

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