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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/88095

    Title: 基於人眼視覺配合YCbCr色彩模型特性與亮度變化之飽和度調整模型
    Other Titles: Saturation adjustment model based on human vision with YCbCr color model characteristics and luminance changes
    Authors: 彭浩維;Peng, Hao-Wei
    Contributors: 淡江大學電機工程學系碩士班
    Keywords: 色彩調整;人眼視覺;彩色影像處理;色彩模型;過飽和;color adjustment;human vision;color image processing;YCbCr;over-saturation
    Date: 2012
    Issue Date: 2013-04-13 12:00:30 (UTC+8)
    Abstract: 隨著科技日益的進步,影像已經邁向數位化與高品質的年代。為因應未來人們對於高品質與鮮豔色彩的需求,色彩調整的方式將會愈來愈被重視。調整色彩主要的因素為: 1.消費者的需求;2.人眼視覺特性;3.色彩模型特性。因為其調整後的色彩是由人眼所觀看,所以色

    This thesis proposes a saturation adjustment method based on human vision with YCbCr color model characteristics and luminance changes. In the traditional color adjustment approach, people tried to separately adjust the luminance and saturation. However, this approach makes the color over-saturate very easily and makes the image look unnatural. In this work we try to use the concept of exposure compensation to simulate the brightness changes and to find the relationship among luminance, saturation, and hue. The simulation indicates that saturation changes with the change of luminance and the simulation also shows there are certain relationships between color variation model and YCbCr color model. Together with all these symptoms, we also include the human vision characteristics to propose a new saturation method to enhance the vision effect of an image. The experimental results show that the proposed approach can make the image have better vivid and contrast. Most important of all, unlike the over-saturation caused by the conventional approach, our approach prevents over-saturation and further makes the adjusted image look natural.
    Appears in Collections:[電機工程學系暨研究所] 學位論文

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