This paper describes a method for lossless image compression where relative pixel values of prediction regions in a set of training images are stored as a codebook. In order to achieve decorrelation of the pixels comprising an image, each pixel's prediction neighborhood is assigned to a neighborhood
Lossless image compression and encryption using SCAN
โ Scribed by S.S. Maniccam; N.G. Bourbakis
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 940 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0031-3203
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โฆ Synopsis
This paper presents a new methodology which performs both lossless compression and encryption of binary and gray-scale images. The compression and encryption schemes are based on SCAN patterns generated by the SCAN methodology. The SCAN is a formal language-based two-dimensional spatial-accessing methodology which can e$ciently specify and generate a wide range of scanning paths or space "lling curves. This paper presents a brief overview of SCAN, compression and decompression algorithms, encryption and decryption algorithms, and test results of the methodology.
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