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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Thou-Ho Chen Chao-Yu Chen Tsong-Yi Chen Ming-Kun Wu |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci. (Thou-Ho Chen; Chao-Yu Chen; Tsong-Yi Chen; Ming-Kun Wu) |
| Abstract | In this paper, we propose an effective noise reduction method for image sequences corrupted by the Gaussian noise or impulse noise. The basic strategy is to combine the spatial just noticeable distortion (JND) with local image characteristics for spatial filtering and utilize the motion compensation for temporal filtering. For spatial filtering, an adaptive scheme composed of the harmonic mean filter, weighted arithmetic mean filter, alpha-trimmed mean filter, median filter and thresholding filter is dedicated to reducing noises on an image. Then, a motion-compensation based temporal filter is focused on refining the spatial-filtered image frame with the previous and following frames. Experimental results show that the proposed noise-reduction method is better than four previous methods with a PSNR improvement rate of 8.85% on Gaussian noise, 11.69% on fixed-value impulse noise and 11.64% on random-value impulse noise over the average of these four methods |
| Sponsorship | IEEE Singapore Sect. IEEE Singapore SMC Chap. IEEE Singapore RA Chap |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1223999 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424400236 |
| DOI | 10.1109/ICCIS.2006.252302 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-07 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise reduction Adaptive filters Gaussian noise Filtering Image sequences PSNR Power harmonic filters Arithmetic Humans Additive noise impulse noise median filter mean filter Just noticeable distortion (JND) |
| Content Type | Text |
| Resource Type | Article |
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