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Contrast enhancement technique based on local detection of edges
TLDR
The technique, derived from Gordon's algorithm, accounts for visual perception criteria, namely for contour detection, and the efficiency of the algorithm is compared to Gordon's and to the classical ones. Expand
A noise-filtering method using a local information measure
TLDR
A nonlinear-noise filtering method, based on the entropy concept, is developed and shown that this method performs better than the classical median for different types of noise and can performbetter than the CWM filter in some cases. Expand
Image quality assessment using a neural network approach
TLDR
Experimental results, using 352 JPEG/JPEG2000 compressed images, show that the neural network outputs correlate highly with the MOS scores, and therefore, the Neural network can easily serve as a correlate to subjective image quality assessment. Expand
Image fusion-based contrast enhancement
TLDR
This article presents a fusion-based contrast-enhancement technique which integrates information to overcome the limitations of different contrast- enhancement algorithms and shows the efficiency of the method in enhancing details without affecting the colour balance or introducing saturation artefacts. Expand
Perceptual quality assessment for color image inpainting
TLDR
The idea is to combine spatial low-level features and perceptual criteria in the design of the objective Image Inpainting Quality Metric (IIQM), using the visual coherence of the recovered regions and the visual saliency describing the visual importance of an area. Expand
A New Look to Multichannel Blind Image Deconvolution
TLDR
A new method based on inverse filtering for perfect image restoration in the noiseless case is proposed and a new robust solution to the degradation matrix filter is derived and used in conjunction with a total variation approach to restore the original image. Expand
Natural Enhancement of Color Image
TLDR
The ambience of image (warm or cold color impression) is maintained after enhancement, and no additional light sources are added to the scene, and the halo effect and blocking effect are amplified due to overenhancement. Expand
Entropic analysis of random morphologies
When the random morphology of ramified or percolating clusters exhibit local fluctuations, the framework of the theory of random percolation with its critical exponents and fractal dimension is stillExpand
On the analysis of background subtraction techniques using Gaussian Mixture Models
TLDR
This paper proposes a simple yet effective technique that differentiates between the two learning rates, and imposes a constraint on the variance so as to avoid the degeneracy problem. Expand
Entropic Thresholding Using a Block Source Model
TLDR
This new approach is based on a distribution-free local analysis of the image and does not use higher order entropy, and is compared to the existing entropic thresholding methods. Expand
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