How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise
作者:Charles-Alban Deledalle, Loïc Denis, Florence Tupin
摘要
Many tasks in computer vision require to match image parts. While higher-level methods consider image features such as edges or robust descriptors, low-level approaches (so-called image-based) compare groups of pixels (patches) and provide dense matching. Patch similarity is a key ingredient to many techniques for image registration, stereo-vision, change detection or denoising. Recent progress in natural image modeling also makes intensive use of patch comparison.
论文关键词:Patch similarity, Likelihood ratio, Detection, Matching
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论文官网地址:https://doi.org/10.1007/s11263-012-0519-6