In the paper a new hardware architecture for the implementation of a high-speed, low bit-rate image coding system is outlined. Our proposed algorithm is based on the Cellular Neural/Nonlinear Network (CNN) chip-set. A simple and fast method is introduced to generate basis functions of two-dimensiona
✦ LIBER ✦
Image noise cancellation using linear matrix inequality and cellular neural network
✍ Scribed by Te-Jen Su; Cian-Pin Wei; Shih-Chun Huang; Chia-Ling Hou
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 431 KB
- Volume
- 281
- Category
- Article
- ISSN
- 0030-4018
No coin nor oath required. For personal study only.
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## Abstract As an attempt to introduce interactive, content‐dependent adaptive (ICDA) image processing, a simple but powerful active image sensing and two image enhancement methods are introduced via adaptive CNN‐UM sensor‐computers. Thus, the method ICDA can be used for adaptive control of image s