Contrast Enhancement of HDR images using genetic Algorithm with efficient Fitness Value
Contrast Enhancement is a technique of improving the quality of image so that the brightness of the image is preserved. Although there are various techniques implemented for the contrast enhancement but contrast enhancement of HDR images is difficult to achieve. Contrast enhancement always plays fundamental role in digital image or video processing. For image contrast enhancement Histogram Equalization (HE) is one of the most commonly used methods but un-natural looking images may be produced by them and the images obtained by these methods are not desirable in applications such as consumer electronic products where brightness preservation is necessary to avoid annoying artifacts. To overcome such problems contrast enhancement of HDR images using genetic algorithm is proposed. The algorithm implemented here uses genetic algorithm for the filtering of image such as noise reduction and enhance the contrast of image. The proposed algorithm performs better as compared to the other HDR contrast enhancement techniques. The idea is to use genetic algorithm which performs a number of iterations and detect the regions in the image where enhancement is required.
Keywords: LDR, TM algorithm, Edge preservation, mutation, crossover, HDR, fitness value.
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ABOUT THE AUTHORS
Ram Ratan Ahirwal
Currently he is working as assistant professor in CSE dept., SATI Vidisha. He has more than 12 publications in various referred international journal and in international conferences to his credit. His areas of interests are data mining, image processing, computer network, network security and natural language processing.
Rameshwar Nath Pathak
He received the B.E.(First) degree in Computer Science & Engineering from Sagar institute of research and technology Bhopal , Madhya Pradesh, India, in 2011. He is currently pursuing the Master degree in Computer Science & Engineering from Samarat Ashok Technological Institute Bhopal , Madhya Pradesh, India. His research interests HDR image enhancement.
Y.K Jain
Dr.Y.K.Jain, Head CSE Deptt, SATI (Degree) Engg. College Vidisha, (M.P.), India. He has more than 30-40 publications in various referred international jouranal and in international conferences to his credit. His areas of interests are image processing, computer network.
Ram Ratan Ahirwal
Currently he is working as assistant professor in CSE dept., SATI Vidisha. He has more than 12 publications in various referred international journal and in international conferences to his credit. His areas of interests are data mining, image processing, computer network, network security and natural language processing.
Rameshwar Nath Pathak
He received the B.E.(First) degree in Computer Science & Engineering from Sagar institute of research and technology Bhopal , Madhya Pradesh, India, in 2011. He is currently pursuing the Master degree in Computer Science & Engineering from Samarat Ashok Technological Institute Bhopal , Madhya Pradesh, India. His research interests HDR image enhancement.
Y.K Jain
Dr.Y.K.Jain, Head CSE Deptt, SATI (Degree) Engg. College Vidisha, (M.P.), India. He has more than 30-40 publications in various referred international jouranal and in international conferences to his credit. His areas of interests are image processing, computer network.
