Paper Type |
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Research Paper |
Title |
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Comparison of Various Hybrid Image Enhancement Tech |
Country |
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India |
Authors |
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Neeru Malik ||, Arun Rana |
Page No. |
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11-17 |
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10.9790/3021-03531117  |
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0.4/3021-03531117 .png) |
 |
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3021-0305-0317  |
Image Enhancement is simple and most appealing area among all the digital image processing techniques. The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. The principal objective of image enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer. During this process, one or more attributes of the image are modified. The choice of attributes and the way they are modified are specific to a given task. Moreover, observer-specific factors, such as the human visual. Whenever an image is converted from one form to other such as digitizing the image some form of degradation occurs at output. Improvement in quality of these degraded images can be achieved by using application of enhancement techniques. Various enhancement schemes are used for enhancing an image which includes gray scale manipulation, filtering and Histogram equalization. Histogram equalization is one of the well known image enhancement technique. In this paper comparative analysis of different enhancement techniques has been carried out. Dfferent parameter for each of the technique is also calculated.
Keywords: Contrast enhancement, Histogram equalization, PSNR, MSE NAE, CPSNR, Visual quality.
[1]. S. Lau, "Global image enhancemS. Lau, "Global image enhancement using local information," Electronics Letters, vol. 30, pp. 122–123, Jan. 1994.
[2]. J. Zimmerman, S. Pizer, E. Staab, E. Perry, W. McCartney, B. Brenton, "Evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement," IEEE Transactions on Medical Imaging, pp. 304-312, 1988.
[3]. Yu Wan, Qian Chen, Bao-Min Zhang, "Image enhancement based on equal area dualistic sub-image histogram equalization method," IEEE Transactions Consumer Electron., vol. 45, no. 1, pp. 68-75, 1999.
[4]. Yeong-Taeg Kim, "Contrast enhancement using brightness preserving bi-histogram equalization," IEEE Trans. Consumer Electronics, vol. 43, no. 1, pp. 1-8, 1997.
[5]. M. Abdullah-Al-Wadud, Md. Hasanul Kabir, M. Ali Akber Dewan, Oksam Chae, "A dynamic histogram equalization for image contrast enhancement", IEEE Transactions. Consumer Electron., vol. 53, no. 2, pp. 593- 600, May2007.