Lossless scalable coding of still images based on multichannel nonseparable two-dimensional filter bank
✍ Scribed by Masahiro Iwahashi; Shinji Fukuma; Noriyoshi Kambayashi
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 442 KB
- Volume
- 83
- Category
- Article
- ISSN
- 1042-0967
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✦ Synopsis
When high-definition images such as medical images and art are compressed, it is desirable that the quality of the original image be maintained at the time of reconstruction. Also, if there is a scalable functionality such that the summary of the image information can be understood even if a part of the compressed data is expanded, data search can be facilitated. Further, if compression processes suitable for individual input images are carried out, highly efficient data compression can be realized. In this article, a new lossless scalable coding is proposed for image compression. The proposed method is based on the lifting configuration of the multichannel nonseparable two-dimensional filter bank. In comparison with the conventional two-channel separable or nonseparable two-dimensional filter bank, this method has more degrees of freedom in selection of the filter coefficient values and can efficiently make use of the interpixel correlation of the image signal along the vertical, horizontal, and oblique directions independently. Also, in this article, a guideline for optimization of the filter bank in the lossless coding is presented. Based on this guideline, the filter coefficient values are determined. In the simulation experiment, a higher compression rate than those in DPCM and various conventional methods has been obtained. It is confirmed that the proposed method has a scalability by extending only a part of the compressed data.