An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement
| Autor: | Joonwhoan Lee, Suresh Raj Pant, Hee-Sin Lee |
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| Rok vydání: | 2015 |
| Předmět: |
Shadow and highlight enhancement
Pixel Logic Image quality business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Top-hat transform Edge enhancement Computer Science Applications Computational Theory and Mathematics Artificial Intelligence Computer Science::Computer Vision and Pattern Recognition Signal Processing Computer vision Adaptive histogram equalization Artificial intelligence business Image restoration Mathematics Feature detection (computer vision) |
| Zdroj: | The International Journal of Fuzzy Logic and Intelligent Systems. 15:35-44 |
| ISSN: | 2093-744X 1598-2645 |
| Popis: | The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis. |
| Databáze: | OpenAIRE |
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