Establishment of an Efficient Color Model from Existing Models for Better Gamma Encoding In Image Processing

International Journal of Image Processing

Mohammad Mahbubur Rahman Khan Mamun¹  T. M. Shahriar Sazzad¹  Sabrin Islam¹  Md. Zahid Hasan¹ 

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关键词: Gamma;    Human vision;    RGB;    HSI;    HSB;    Light.;   

DOI  :  

来源: Computer Science Journals

【 摘 要 】

Human vision is an important factor in the areas of image processing. Research has been donefor years to make automatic image processing but still human intervention can not be denied andthus better human intervention is necessary. Two most important points are required to improvehuman vision which are light and color. Gamma encoder is the one which helps to improve theproperties of human vision and thus to maintain visual quality gamma encoding is necessary.It is to mention that all through the computer graphics RGB (Red, Green, and Blue) color space isvastly used. Moreover, for computer graphics RGB color space is called the most establishedchoice to acquire desired color. RGB color space has a great effort on simplifying the design andarchitecture of a system. However, RGB struggles to deal efficiently for the images those belongto the real-world.Images are captured using cameras, videos and other devices using different magnifications. Inmost cases during processing, in compare to the original outlook the images appear either darkor bright in contrast. Human vision affects and thus poor quality image analysis may occur.Consequently this poor manual image analysis may have huge difference from the computationalimage analysis outcome. Question may arise here why we will use gamma encoding whenhistogram equalization or histogram normalization can enhance images. Enhancing images doesnot improve human visualization quality all the time because sometimes it brightens the imagequality when it is needed to darken and vice-versa. Human vision reflects under universalillumination environment (not pitch black or blindingly bright) thus follows an approximate gammaor power function. Hence, this is not a good idea to brighten images all the time when betterhuman visualization can be obtained while darkening the images. Better human visualization isimportant for manual image processing which leads to compare the outcome with the semiautomatedor automated one. Considering the importance of gamma encoding in imageprocessing we propose an efficient color model which will help to improve visual quality formanual processing as well as will lead analyzers to analyze images automatically for comparisonand testing purpose.

【 授权许可】

Unknown