الفهرس 
Videoscope Image Problem statementOnly 14 pages are availabe for public view
 |  | from | 147 |  |  |
| | | from | 147 | | |
Abstract
This thesis presents different proposals to enhance the quality of videoscope images. The first approach in this thesis is based on Contrast Limited Adaptive Histogram Equalization (CLAHE) with adaptive gamma correction. The image is divided into suitable regions, and histogram equalization is applied on these regions. This approach achieves a noticeable contrast enhancement for the videoscope images. The second approach is based on homomorphic processing. The videoscope image is decomposed into illumination and reflectance components. The illumination component is attenuated and the reflectance component is magnified. This approach gives more details in the videoscope image. The third approach depends on homomorphic with an emphasis high-pass filter and histogram equalization. This approach is based on the group of transform-domain methods, which depend on the illumination and reflectance components for improving image contrast. The fourth approach is based on dynamic piecewise linear transform and gamma correction to enhance the perceptual quality of images. The fifth hybrid approach depends on CLAHE and fuzzy logic processing.
The aim of this thesis is concerned with a vital tropic in image processing, which is videoscope image enhancement. Generally, videoscope is an imaging system that is used in industrial applications. The captured images and videos are visual images acquired at poor illumination conditions. Hence, these images are of poor quality. There is a need for image enhancement techniques to improve the quality of these videoscope images.