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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuecheng Li Hong Zhang Yuhu You Mingui Sun |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Astronautics, Beihang University, Beijing, China (Yuecheng Li; Hong Zhang; Yuhu You) || Departments of Neurosurgery, Electrical and Computer Engineering, and Bioengineering, University of Pittsburgh, USA (Mingui Sun) |
| Abstract | Retinex is one of the well-known schemes for adaptive image enhancement under poor weather conditions. Improving the visibility of input images on a target detection system is necessary to insure detection work properly. Compared to other realization methods based on DSPs and FPGAs, this paper proposes a totally parallel structure based on FPGA to implement multi-scale Retinex for an outdoor application. Gaussian kernel is optimized with address encoding and distributed arithmetic, and parallel multi-scale convolutions are realized. No frame buffer is needed for the proposed implementation itself, so the system delay is greatly saved. Experiments show the good performance of the proposed multi-scale Retinex implementation by both subjective and objective assessments. Visibility of images suffering from fog degradation and uneven light is improved. And future work is presented in the conclusion. |
| Starting Page | 1788 |
| Ending Page | 1792 |
| File Size | 1912990 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424493043 |
| e-ISBN | 9781424493067 |
| DOI | 10.1109/CISP.2011.6100606 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-10-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Convolution image enhancement Retinex FPGA Lighting distributed arithmetic Object detection Digital signal processing Kernel Field programmable gate arrays |
| Content Type | Text |
| Resource Type | Article |
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