Adaptive Object-Region-Based Image Pre-Processing for a Noise Removal Algorithm
- Title
- Adaptive Object-Region-Based Image Pre-Processing for a Noise Removal Algorithm
- Author
- 정정화
- Keywords
- noise reduction; image segmentation; bilateral filter; higher-order statistics; pre-processing
- Issue Date
- 2013-12
- Publisher
- KSII-KOR SOC INTERNET INFORMATION, KOR SCI & TECHNOL CTR, 409 ON 4TH FLR, MAIN BLDG, 635-4 YEOKSAM 1-DONG, GANGNAM-GU, SEOUL 00000, SOUTH KOREA
- Citation
- KSII Transactions on Internet and Information Systems, Vol.7, No.12 [2013], p3166-3179
- Abstract
- A pre-processing system for adaptive noise removal is proposed based on the principle of identifying and filtering object regions and background regions. Human perception of images depends on bright, well-focused object regions; these regions can be treated with the best filters, while simpler filters can be applied to other regions to reduce overall computational complexity. In the proposed method, bright region segmentation is performed, followed by segmentation of object and background regions. Noise in dark, background, and object regions is then removed by the median, fast bilateral, and bilateral filters, respectively. Simulations show that the proposed algorithm is much faster than and performs nearly as well as the bilateral filter (which is considered a powerful noise removal algorithm); it reduces computation time by 19.4 % while reducing PSNR by only 1.57 % relative to bilateral filtering. Thus, the proposed algorithm remarkably reduces computation while maintaining accuracy.
- URI
- http://www.itiis.org/digital-library/manuscript/645http://hdl.handle.net/20.500.11754/46368
- ISSN
- 1976-7277
- DOI
- 10.3837/tiis.2013.12.012
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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