Color Image Contrast Enhancement Based on Spatial Transformation and Expert Fuzzy Technique
Zhi-xuan CHEN · DEStech Transactions on Computer Science and Engineering · 2018
The current image enhancement algorithms have the problems of color drift, difficulty of parameter selection, convergence guarantee, large amount of computation and poor real-time performance. The effect of image enhancement should mainly consider the visual perception of human eyes, and it is difficult to process images with accurate standards and methods. Therefore, the fuzzy technology based on imprecise concepts and expert experience is a favourable approach to solve the problems of current image enhancement algorithm. This paper proposed a color image contrast enhancement technique, firstly to hue, saturation and intensity of color space from RGB color space transform, then image enhancement processing would be implemented to the intensity component of the color image by using expert fuzzy technology. The proposed algorithm does not change the hue and saturation of the original color image. The contrast experiment shows that the proposed method has improved the visual effect of the image obviously. The amount of calculation is small and the real-time performance is well.