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 me
Parallel lossless image compression using Huffman and arithmetic coding
โ Scribed by Paul G. Howard; Jeffrey Scott Vitter
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 906 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0020-0190
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The cellular neural network paradigm has found many applications in image processing. However, algorithms for image compression using CNN have scarcely been explored. CNN programmability is based on a new algorithmic style based on the spatio-temporal properties of the array. By exploiting the massi
This article describes a new straightforward technique for lossless image compression, entitled simple prediction method, which results in compression ratios similar to those achieved by the most powerful techniques described in the literature. The predictive model used by the method is one in which
In this paper we propose a novel method for designing block-wise lossless image compression scheme using linear predictors. In this prediction scheme, the prediction for each pixel is formed by using a set of least-square-based linear prediction coefficients of the block to which the current pixel b