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Smart image resizing with color-based entropy and gradient operators

机译:使用基于颜色的熵和梯度运算符调整智能图像大小

摘要

A system and method for resizing a digitally represented color image are presented. A color image with pixels defined by luminance and at least one chrominance value is received. For each pixel of the color image, a luminance spatial variation and respective chrominance spatial variations in the respective neighborhood of the each pixel are computed. The luminance spatial variation and the respective chrominance spatial variations are combined to produce a respective importance value for each pixel. Selected pixels are identified based upon their respective importance values and are removed by seam carving of the color image. The seam carving identifies seams of pixels based upon the respective importance values of pixels within the seams of pixels to create a resized color image. The resized color image is produced to an image output device.
机译:提出了一种用于调整数字表示的彩色图像的大小的系统和方法。接收具有由亮度和至少一个色度值定义的像素的彩色图像。对于彩色图像的每个像素,计算每个像素的各个邻域中的亮度空间变化和各个色度空间变化。亮度空间变化和相应的色度空间变化被组合以产生每个像素的相应的重要性值。所选择的像素根据它们各自的重要性值进行标识,并通过对彩色图像进行接缝雕刻将其删除。接缝雕刻基于像素接缝内的像素的各个重要性值来识别像素接缝,以创建调整大小的彩色图像。经调整大小的彩色图像被产生到图像输出设备。

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