Image Classification and Optimized Image Reproduction
By taking into account the properties and limitations of the human visual system, images can be more efficiently compressed, colors more accurately reproduced, prints better rendered. To show all these advantages in this paper new adapted color charts have been created based on technical and visual image category analysis. A number of tests have been carried out using extreme images with their key information strictly in dark and light areas. It was shown that the image categorization using the adapted color charts improves the analysis of relevant image information with regard to both the image gradation and the detail reproduction. The images with key information in hi-key areas were also test printed using the adapted color charts.
Keywords: ICC-profiles,RGB,Gray Scales,Color Test Chart
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ABOUT THE AUTHORS
Jaswinder Singh Dilawari
Jaswinder Singh Dilawari is a Ph.D Research Scholar, Pacific University, Udaipur, Rajasthan, INDIA and is working as an Associate Professor , Geeta Engineering College, Panipat, Haryana ,India .He has teaching experience of 12 years .His area of interest includes Computer Graphics, Computer Architecture ,Software Engineering ,Fuzzy Logic and Artificial Intelligence .He is life member of Indian Society for Technical Education (ISTE)
Ravinder Khanna
Dr.Ravinder Khanna Graduated in Electrical Engineering from Indian Institute of Technology(IIT) Dehli in 1970 and Completed hisMasters and Ph.D degree in Eletronicsand Communications Engineering fromthe same Institute in 1981 and 1990respectively. He worked as an ElectronicsEngineer in Indian Defense Forces for 24Years where he wasinvolved in teaching,research and project magement of someof the high tech weapon systems. Since 1996 he has full timeSwitched to academics. he has worked in many premiere technicalinstitute in india and abroad. Currently he is the Principal ofSachdeva Engineering College for Girls, Mohali, Punjab (India).He is active in the general area of Computer Networks, ImageProcessing and Natural Language Processing
Jaswinder Singh Dilawari
Jaswinder Singh Dilawari is a Ph.D Research Scholar, Pacific University, Udaipur, Rajasthan, INDIA and is working as an Associate Professor , Geeta Engineering College, Panipat, Haryana ,India .He has teaching experience of 12 years .His area of interest includes Computer Graphics, Computer Architecture ,Software Engineering ,Fuzzy Logic and Artificial Intelligence .He is life member of Indian Society for Technical Education (ISTE)
Ravinder Khanna
Dr.Ravinder Khanna Graduated in Electrical Engineering from Indian Institute of Technology(IIT) Dehli in 1970 and Completed hisMasters and Ph.D degree in Eletronicsand Communications Engineering fromthe same Institute in 1981 and 1990respectively. He worked as an ElectronicsEngineer in Indian Defense Forces for 24Years where he wasinvolved in teaching,research and project magement of someof the high tech weapon systems. Since 1996 he has full timeSwitched to academics. he has worked in many premiere technicalinstitute in india and abroad. Currently he is the Principal ofSachdeva Engineering College for Girls, Mohali, Punjab (India).He is active in the general area of Computer Networks, ImageProcessing and Natural Language Processing
