## Abstract We propose a biโlevel image coding method for digital printing images, using Genetic Algorithms (GAs). These images have resolutions as high as those of photographs; therefore, the coding method is required to achieve high compression ratios. Our GAโbased method can obtain higher compre
Digital Image Compression Using a Genetic Algorithm
โ Scribed by Cheng Yimin; Wang Yixiao; Sun Qibin; Sun Longxiang
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 208 KB
- Volume
- 5
- Category
- Article
- ISSN
- 1077-2014
No coin nor oath required. For personal study only.
โฆ Synopsis
digital image compression method based on a VQ coding technique is presented in this paper. Genetic algorithm is used to generate a good global optimal codebook. In the genetic algorithm, it is proposed that movable genes be used to improve the computing eect of the algorithm. Both the encoding and decoding have been simulated on a computer and the reconstructed images and experiment results show that the algorithm is reliable. The method may be applied to compression coding for all still images and image sequences. Also the genetic algorithm may be used in other optimal ยฎelds.
๐ SIMILAR VOLUMES
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 method for estimating the observation direction of a person by applying fuzzy inference to the features obtained when a genetic algorithm is used to recognizee human posture from a natural image. Posture recognition uses the constraints obtained by representing the human