Rotationally invariant similarity measures for nonlocal image denoising
نویسندگان
چکیده
منابع مشابه
Rotationally invariant similarity measures for nonlocal image denoising
Many natural or texture images contain structures that appear several times in the image. One of the denoising filters that successfully take advantage of such repetitive regions is the nonlocal means filter. It is simple and yields very good denoising results. Unfortunately, the block matching within the standard nonlocal means filter is not able to handle rotation or mirroring. Rotated or mir...
متن کاملNonlocal Similarity Image Filtering
We exploit the recurrence of structures at different locations, orientations and scales in an image to perform denoising. While previous methods based on “nonlocal filtering” identify corresponding patches only up to translations, we consider more general similarity transformations. Due to the additional computational burden, we break the problem down into two steps: First, we extract similarit...
متن کاملImage Denoising Methods. A New Nonlocal Principle
The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. In spite of the sophistication of the recently proposed methods, most algorithms have not yet attained a desirable level of applicability. All show an outstanding performance when the image model corresponds to the algorithm assumptions but fail in general and creat...
متن کاملImage and movie denoising by nonlocal means
Neighborhood filters are image and movie filters which reduce the noise by averaging similar pixels. The object of the paper is to present a unified theory of these filters and reliable criteria to compare them to other classes of filters. First a CCD noise model will be presented justifying this class of algorithm. A classification of neighborhood filters is proposed, including classical image...
متن کاملInfrared image denoising by nonlocal means filtering
The recently introduced non-local means (NLM) image denoising technique broke the traditional paradigm according to which image pixels are processed by their surroundings. Non-local means technique was demonstrated to outperform state-of-the art denoising techniques when applied to images in the visible. This technique is even more powerful when applied to low contrast images, which makes it tr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Visual Communication and Image Representation
سال: 2011
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2010.11.001