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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sinyoung Jun Eunsung Lee Sangjin Kim Joonki Paik |
| Copyright Year | 2010 |
| Description | Author affiliation: Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Seoul, Korea (Sinyoung Jun; Eunsung Lee; Sangjin Kim; Joonki Paik) |
| Abstract | This paper presents a novel wavelet-based image enhancement approach to reduce noise in a single-sensor color camera. Most traditional noise reduction methods tend to over-suppress high-frequency details. For overcoming this problem we first decompose the input image into flat and edge regions, and adaptively remove noise by multiplying alpha map and wavelet transform coefficients of LH, HL, and HH bands. After removing noise in the flat region, we further remove noise in edge regions by adaptive shrink of wavelet coefficients based on the entropy. Experimental result show the proposed algorithm is proved to be able to reduce noise without losing sharp details and is suitable for commercial low-cost such as digital cameras, CCTV, and surveillance systems. |
| Starting Page | 415 |
| Ending Page | 416 |
| File Size | 465099 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424443147 |
| DOI | 10.1109/ICCE.2010.5418805 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-01-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet analysis Entropy Analysis of variance Image analysis Image color analysis Noise reduction Colored noise Image enhancement Cameras Wavelet transforms |
| Content Type | Text |
| Resource Type | Article |
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