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  • 學位論文

運用於改善人類視覺色彩辨識力異常之影像調整與強化技術

Image Enhancement Technique for Improving the Abnormal Human Color Perception

指導教授 : 林惠勇
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摘要


一般的色彩辨識異常患者無法感知部分或全部範圍的顏色,其成因通常為天生基因所造成,亦有後天因化學藥劑或是神經、大腦受損而形成顏色分辨力的退化。就研究統計及相關文獻的記載,紅綠色盲人口佔全球男性人口約8%,女性人口約0.5%。其中約6% 人口為三色視覺(色弱),約2% 人口為二色視覺(色盲),極少數為單色視覺(全色盲)。若是後天色盲可藉由藥物治療,但先天色盲目前無法開刀解決色覺的差異,雖然有鍍膜鏡片可以矯正,但效果不佳,因此目前仍然沒有有效的解決辦法。在社會上這些不便直接造成無法選擇美術、醫學、化工、電工及電信等需要依賴大量的辨色能力的工作,並且使這族群無法考駕照等之類證照。為了輔助色彩辨識異常患者日常生活中的色彩分辨能力,希望能藉由調整數位影像中色彩的方式,使得色彩辨識異常患者能透過觀看影像,進而增加對於景物色彩差異的分辨力。因此,此論文將嘗試透過電腦演算法調整數位影像的色彩後,以達到強化數位影像彩色資訊被分辨的目的。而未來演算法成熟後,可朝向以穿戴式等設備輔助發展。

並列摘要


Color deficiencies can only sense part of the visible spectrum. This is usually caused by two major reasons. One is the natural genetic factor, and the other is by the chemicals or the damage of nerve or brain. In the previous research and literature surveys, it shows that there are about 8% of male and 0.5% of female with the red-green color blindness in the world population. Among them, there are 6% the world population with trichromatic vision (weak color vision), 2% the world population with dichromatic vision (partial color blindness), and few world population with monochrome vision (total color blindness). If the color blindness is caused by the environment, it can be cured by medicine. But the natural color blindness cannot be cured by the existing operations. Although there are coated glasses which can be used to “correct”the color vision, no good results are shown presently. There still lack of efficient and suitable pproaches to solve this problem currently. The color blindness cannot choose the job related to art, medicine, chemical, electrical and telecommunications, etc. All these jobs depend on the ability to distinguish different colors. They also cannot take the driving license. To help the color deficiencies, we propose to use the computer algorithms to adjust the color and let the color deficiencies be able to distinguish the difference between the colors. We the algorithms used for digital images, and tested by the color deficiencies. Based on some preliminary research, we would also like to extend and use it for portable devices.

參考文獻


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[7] J.-B. Huang, Y.-C. Tseng, S.-I. Wu, and S.-J. Wang, “Information preserving color transformation for protanopia and deuteranopia,” Signal Processing Letters, IEEE, vol. 14, no. 10, pp. 711–714, 2007.

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