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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changhun Cho Jaehwan Jeon Joonki Paik |
| Copyright Year | 2014 |
| Description | Author affiliation: Image Process. & Intell. Syst. Lab., Chung-Ang Univ., Seoul, South Korea (Changhun Cho; Jaehwan Jeon; Joonki Paik) |
| Abstract | A finite impulse response (FIR) filter design method is presented by truncating the constrained least squares filter for real-time, spatially adaptive image restoration. The proposed method truncates the original constrained least squares image restoration filter using the Maxwell-Boltzmann distribution kernel. For the edge preserving image restoration, the orientation of local edge is analyzed based on the covariance matrix, and the edge orientation-adaptive restoration filters are generated. The reduced size of the FIR type restoration filter makes hardware implementation easier for real-time image enhancement. Experimental results show that the proposed method provide more detail and less restoration artifacts than existing methods. As a result, the proposed restoration filter can be applied to realtime image enhancement systems, such as high-definition televisions and video surveillance systems. |
| Sponsorship | IEEE Consumer Electron. Soc. |
| Starting Page | 256 |
| Ending Page | 257 |
| File Size | 461246 |
| Page Count | 2 |
| File Format | |
| ISSN | 21583994 |
| e-ISBN | 9781479912919 |
| DOI | 10.1109/ICCE.2014.6775993 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-10 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Finite impulse response filters Image restoration Kernel Image edge detection Covariance matrices Real-time systems Energy loss |
| Content Type | Text |
| Resource Type | Article |
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