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Directional Cubic Convolution Interpolation : ウィキペディア英語版 | Directional Cubic Convolution Interpolation
Directional Cubic Convolution Interpolation (DCCI) is an edge-directed image scaling algorithm created by Dengwen Zhou and Xiaoliu Shen. By taking into account the edges in an image, this scaling algorithm reduces artifacts common to other image scaling algorithms. For example, staircase artifacts on diagonal lines and curves are eliminated. The algorithm resizes an image to 2x its original dimensions, minus 1. ==The Algorithm== The algorithm works in three main steps: # Copy the original pixels to the output image, with gaps between the pixels # Calculate the pixels for the diagonal gaps # Calculate the pixels for the remaining horizontal and vertical gaps
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Directional Cubic Convolution Interpolation」の詳細全文を読む
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