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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Gradient Domain Image Processing ： ウィキペディア英語版 Gradient Domain Image Processing Gradient domain image processing is a relatively new type of digital image processing that operates on the differences between neighboring pixels, rather than on the pixel values directly. Mathematically, an image gradient represents the derivative of an image, so the goal of gradient domain processing is to construct a new image by integrating the gradient, which requires solving Poisson's equation.〔Bhat, Pravin, et al. "Gradientshop: A gradient-domain optimization framework for image and video filtering." ACM Transactions on Graphics (TOG) 29.2 (2010): 10.〕 == Overview == Processing images in the gradient domain is a two-step process. The first step is to choose an image gradient. This is often extracted from one or more images and then modified, but it can be obtained through other means as well. For example, some researchers have explored the advantages of users painting directly in the gradient domain,〔McCann, James, and Nancy S. Pollard. "Real-time gradient-domain painting." ACM Transactions on Graphics (TOG). Vol. 27. No. 3. ACM, 2008.〕 while others have proposed sampling a gradient directly from a camera sensor.〔Tumblin, Jack, Amit Agrawal, and Ramesh Raskar. "Why I want a gradient camera." Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. Vol. 1. IEEE, 2005.〕 The second step is to solve Poisson's equation to find a new image that can produce the gradient from the first step. An exact solution often does not exist because the modified gradient field is no longer conservative, so an image is found that approximates the desired gradient as closely as possible. 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「Gradient Domain Image Processing」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.