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Ji-Hee Han, Sejung Yang, and Byung-Uk Lee, Member, IEEE IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 2, FEBRUARY 2011
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INTRODUCTION REVIEW OF PREVIOUS WORK BASED UPON THE 3-D COLOR HISTOGRAM PROPOSED METHOD: A CDF WITH AN ISO-LUMINANCE-PLANE BOUNDARY EXPERIMENTS
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INTRODUCTION REVIEW OF PREVIOUS WORK BASED UPON THE 3-D COLOR HISTOGRAM PROPOSED METHOD: A CDF WITH AN ISO-LUMINANCE-PLANE BOUNDARY EXPERIMENTS
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histogram equalization has become embedded in most consumer digital cameras The majority of color histogram equalization methods do not yield uniform histogram in gray scale This paper proposes a novel 3-D color histogram equalization method that produces uniform distribution in gray scale histogram
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INTRODUCTION REVIEW OF PREVIOUS WORK BASED UPON THE 3-D COLOR HISTOGRAM PROPOSED METHOD: A CDF WITH AN ISO-LUMINANCE-PLANE BOUNDARY EXPERIMENTS
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A. Gray Scale Histogram Equalization The pdfs of them are denoted as, and the corresponding cdfs are,and intensity of the original input image as modified intensity of the resulting output image as L is the number of intensity levels
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B. Previous Methods Based upon 3-D Color Histogram Equalization Trahanias and Venetsanopoulos [2] defined the cdf in RGB color space as
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The desired output cdf is given as:
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R, G, and B components are the same, i.e., The resulting cdf for this image is proportional to, i.e.,
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Menotti proposed to adopt an input cdf that multiplies each marginal cdf of three channels, i.e.,
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C. Generalization of Gray Scale Image Enhancement to Color Images Naik and Murthy [21] proposed a scheme to generalize any gray scale image processing to color images
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INTRODUCTION REVIEW OF PREVIOUS WORK BASED UPON THE 3-D COLOR HISTOGRAM PROPOSED METHOD: A CDF WITH AN ISO-LUMINANCE-PLANE BOUNDARY EXPERIMENTS
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Where is the input intensity Since the ideal output pdf is uniform over all values of n, the output cdf is Since, we obtain
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INTRODUCTION REVIEW OF PREVIOUS WORK BASED UPON THE 3-D COLOR HISTOGRAM PROPOSED METHOD: A CDF WITH AN ISO-LUMINANCE-PLANE BOUNDARY EXPERIMENTS
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Thank you
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