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GREYCstoration is an image regularization
algorithm that processes an image by locally
removing small variations of pixel intensities
while preserving significant global image
features, such as sharp edges and corners.
The most direct application is denoising. By
extension, it can also be used to inpaint or
resize images. It is based on methods using
nonlinear multi-valued diffusion PDEs (Partial
Differential Equations) for image
regularization. This kind of method generally
outperforms basic image filtering techniques
(such as convolution, median filtering, etc.)
classically encountered in painting programs.
Other image denoising plugins are available,
but are not free, and the corresponding
algorithms are kept secret.

System Requirements

System requirement is not defined
Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2006-03-27 16:36
2.3

정규화 알고리즘이 향상되었습니다 지금부터 3 시간 이전 버전보다 빠르게 수행합니다. 최첨단 - 향상 필터, 더 크게 복원 이미지 수 있도록 추가되었습니다. 파일 이름에 공백이 포함된 일부 버그가 수정되었습니다.
Tags: Major feature enhancements
The regularization algorithm has been improved and
now performs three times faster than previous
versions. A edge-enhancement filter was added,
allowing more sharply restored images. Some bugs
with filenames containing spaces have been
corrected.

2006-02-11 09:57
2.2

알고리즘은 지금 ( '피크 신호 denoising의 품질 기준을주고 ables 잡음비')을 인위적으로 사용자에 의해 손상된 이미지를 denoising했다. 이렇게하면 기존의 다른 denoising 방법과 수치 비교. 인터페이스는, 원래 시끄러운 및 복원 이미지를 때 사용자가 인공 노이즈 이미지를 손상하고있다 보여으로 바뀌었습니다.
Tags: Minor feature enhancements
The algorithm is now ables to give a denoising quality criterion (the 'Peak Signal to Noise Ratio') after denoising an image that has been
artificially corrupted by the user. This allows
a numerical comparison with other existing denoising methods. The interface was modified to show the original, noisy, and
restored images when the user has corrupted the image with artificial noise.

2006-02-07 02:32
2.1

Tags: Initial freshmeat announcement

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