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首页> 外文期刊>Intelligent decision technologies >Recoloring of visual multimedia using matlab to aid color vision deficient individuals
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Recoloring of visual multimedia using matlab to aid color vision deficient individuals

机译:使用MATLAB重新旋转视觉多媒体,以帮助颜色视觉缺陷个体

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Color Vision Deficiency (CVD) has a widespread impact and has affected more than 300 million people across the world. CVD has three major types as Monochromacy, Dichromacy and Anomalous Trichromacy. We design and develop a website with re-coloring algorithms incorporated for anomalous trichromats and dichromats. Unlike an image recoloring schemes, recoloring a video demands maintaining color consistency in the frames which implies similar color in adjacent frames should be recolored to similar necessary color. Our aim is to show the Color Vision Deficient (CVD) the primary colors distinguishably, which they cannot see in normal lighting conditions. To achieve this goal, we have incorporated recoloring algorithm into the website using Matlab as a back-end language, which will first conduct Ishihara plates test to check if a user is CVD. If yes, the test will then comment on the type of its Color Blindness, based on this user would be recommended to go to the respective module of recoloring. User would be asked to submit video or an image which is to be re-colored. Video/Image would be re-colored on server side, the recolored output would be displayed on a screen with an option to download result. The RGB to LMS algorithm is used to recolor those pixels in images and videos which are unperceivable to users. After recoloring they will be able to distinguish the colors and it will be more recognizable. Finally, there would be a feedback/suggestions which users are asked to fill-out, to understand the performance of algorithm and quality of re-colored image. Experimental results prove that with the help of our website almost all CVD irrespective of their types would be helped in their vision to experience multimedia. Thus our website would aid millions of CVD’s to experience colors in multimedia which they are unable to see distinguishably.
机译:颜色视觉缺陷(CVD)具有广泛的影响,并影响了世界各地的300多万人。 CVD有三种主要类型,作为单色,二分度和异常的孕妇。我们设计和开发一个网站,其中包含用于异常的Trichroomats和Dichromats的重新着色算法。与图像重新定向方案不同,重新旋转在相邻帧中暗示相似颜色的帧中的视频需求,应将应该重新介绍相似的必要颜色。我们的宗旨是展示颜色视觉缺陷(CVD)的原色可区分,它们在正常的照明条件下不能看到它们。为实现这一目标,我们将重新定向算法纳入网站,使用MATLAB作为后端语言,这将首先进行Ishihara Plates测试以检查用户是否是CVD。如果是,则基于此用户,测试将对其颜色失明的类型进行评论,建议转到相应的重新定位模块。将要求用户提交要重新彩色的视频或图像。视频/图像将在服务器端重新彩色,重新传输输出将显示在屏幕上,可以选择下载结果。 RGB至LMS算法用于重新着色对用户无法佩达的图像和视频中的那些像素。重新加起后,他们将能够区分颜色,并将更容易识别。最后,将有一个反馈/建议,用户被要求填写,以了解重新彩色图像的算法和质量的性能。实验结果证明,在我们的网站的帮助下几乎所有CVD,无论他们的类型如何都会有助于体验多媒体的愿景。因此,我们的网站将有助于数百万CVD来体验多媒体的颜色,他们无法明确地看到。

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