In this paper, we present an adaptive gradient based method to restore images degraded by the effects of both noise and blur. The approach combines two penalty functions. The first derivative of the Canny operator is employed as a roughness penalty function to improve the high frequency information
An adaptive image enhancement algorithm
โ Scribed by Jorge A. Silva Centeno; Victor Haertel
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 844 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
โฆ Synopsis
Image enhancement is a common procedure intended to process an image so that the resulting processed image is more suitable than the original one for a given application. Spatial filtering is a well-known procedure to achieve this goal. Low-pass filtering smooths the image and is often used as a preprocessing step to image analysis, removing small details and reducing noise. This filtering process, however, blurs the image. High-pass filtering sharpens the borders between the different image regions by highlighting edges. This process also highlights noise and spurious details. This study proposes a different method that first detects borders between radiometrically distinct image regions and then applies a weighting function to smooth each region internally. The proposed algorithm was implemented on a SUN Sparcstation for testing purposes. Results of the procedure are presented. ~;
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