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International Journal of Engineering، جلد ۲۴، شماره ۴، صفحات ۳۰۱-۳۱۲
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عنوان انگلیسی Image Quality Enhancement Using Pixel Wise Gamma Correction
چکیده انگلیسی مقاله This paper presents a new automatic image enhancement method by modifying the gamma value of its individual pixels. Most of existing gamma correction methods apply a uniform gamma value across the image. Considering the fact that gamma variation for a single image is actually nonlinear, the proposed method locally estimates the gamma values in an image using support vector machine. First, a database of training images are constructed from various standard images under different gamma conditions. Then by windowing each of the training images, a number of features that characterize images content are computed from its pixel intensity histogram, gray level co-occurrence matrix, and discrete cosine transform domain. To improve the gamma values of an image the aforementioned features are initially computed in sliding windows, then SVM is employed to estimate the gamma value in each window. In this study, it is shown that the proposed method has performed well in improving the quality of images. Subjective and objective image quality assessments used in this study attest superiority of the proposed method compared to the existing methods in image quality enhancement using image gamma value.
کلیدواژه‌های انگلیسی مقاله image enhancement, Gamma Correction, Feature selection, SVM
نویسندگان مقاله Sekineh Asadi |
Faculty of Engineering, University of Mazandaran

Hamid Hassanpour |


نشانی اینترنتی http://www.ije.ir/article_71930_5128ebf43ab10fc8f9cfc5f3cf747ba5.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/409/article-409-2063084.pdf
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زبان مقاله منتشر شده en
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