Abstract
Contrast enhancement has an important role in image processing applications. This paper presents a color enhancement algorithm based on adaptive filter technique. First, the proposed method is divided into three major parts: obtain luminance image and backdrop image, adaptive modification and color restoration. different traditional color image enhancement algorithms, the adaptive filter in the algorithm takes color information into consideration. The algorithm finds the significance of color information in color image enhancement and utilizes color space conversion to obtain a much better visibility. In the practical results, the proposed method reproduces better enhancement and reduce the halo distortion compared with the bilateral methods.
Highlights
Digital image processing techniques has been developed with the purpose of image enhancement, restoration, and so on
The gray world assumption method estimates the illuminant using the average color of the pixels, whereas in the white patch Retinex method, if a bright patch in the image is a white patch in the scene, this patch reflects the maximum light possible for each band
The adaptive filter referred proposes a solution in reducing halo and achieves a better visibility compare to bilateral tone adjustment and comparative analysis of both techniques
Summary
Digital image processing techniques has been developed with the purpose of image enhancement, restoration, and so on. The dynamic range of human eyes is four to six times as wide as a digital camera. These differences especially in situations where strong luminance contrast exists. The following steps are used to improve the color enhancement using bilateral tone adjustment. Global luminance is to reassign the intensity values of pixels to make the intensity distribution uniform This method improves the visibility of details in dark and bright region. The final step is Saliency Weighted Contrast Enhancement This technique produces high contrast in region with higher extent to human interest.
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