A variational approach to remove outliers and impulse noise
M Nikolova - Journal of Mathematical Imaging and Vision, 2004 - Springer
We consider signal and image restoration using convex cost-functions composed of a non-
smooth data-fidelity term and a smooth regularization term. We provide a convergent …
smooth data-fidelity term and a smooth regularization term. We provide a convergent …
A generalized unsharp masking algorithm
G Deng - IEEE transactions on Image Processing, 2010 - ieeexplore.ieee.org
Enhancement of contrast and sharpness of an image is required in many applications.
Unsharp masking is a classical tool for sharpness enhancement. We propose a generalized …
Unsharp masking is a classical tool for sharpness enhancement. We propose a generalized …
Selection weighted vector directional filters
R Lukac, B Smolka, KN Plataniotis… - Computer Vision and …, 2004 - Elsevier
In this paper, a class of weighted vector directional filters (WVDFs) based on the selection of
the output sample from the multichannel input set is analyzed and optimized. The WVDF …
the output sample from the multichannel input set is analyzed and optimized. The WVDF …
A taxonomy of color image filtering and enhancement solutions
R Lukac, KN Plataniotis - Advances in imaging and electron …, 2006 - books.google.com
The perception of color is of paramount importance since human observers routinely use
color information to sense the environment, recognize semantic objects of interest, and …
color information to sense the environment, recognize semantic objects of interest, and …
[HTML][HTML] Statistical techniques for digital pre-processing of computed tomography medical images: A current review
Digital pre-processing is a vital stage in the processing of the information contained in
multilayer computed tomography images. The purpose of digital pre-processing is the …
multilayer computed tomography images. The purpose of digital pre-processing is the …
Guided image contrast enhancement based on retrieved images in cloud
We propose a guided image contrast enhancement framework based on cloud images, in
which the context-sensitive and context-free contrast is jointly improved via solving a multi …
which the context-sensitive and context-free contrast is jointly improved via solving a multi …
Efficient image sharpening and denoising using adaptive guided image filtering
Enhancing the sharpness and reducing the noise of blurred, noisy images are crucial
functions of image processing. Widely used unsharp masking filter‐based approaches suffer …
functions of image processing. Widely used unsharp masking filter‐based approaches suffer …
Weighted iterative truncated mean filter
The iterative truncated arithmetic mean (ITM) filter was proposed recently. It offers a way to
estimate the sample median by simple arithmetic computing instead of the time consuming …
estimate the sample median by simple arithmetic computing instead of the time consuming …
Image enhancement using piecewise linear contrast stretch methods based on unsharp masking algorithms for leather image processing
This research work proposes a novel method to improve quality of animal leather images
using digital image processing approach. In this work, piecewise linear contrast stretch …
using digital image processing approach. In this work, piecewise linear contrast stretch …
Medical image enhancement using threshold decomposition driven adaptive morphological filter
TA Mahmoud, S Marshall - 2008 16th European Signal …, 2008 - ieeexplore.ieee.org
One of the most common degradations in medical images is their poor contrast quality. This
suggests the use of contrast enhancement methods as an attempt to modify the intensity …
suggests the use of contrast enhancement methods as an attempt to modify the intensity …