• No results found

[PDF] Top 20 Image Restoration and Topological Optimization

Has 10000 "Image Restoration and Topological Optimization" found on our website. Below are the top 20 most common "Image Restoration and Topological Optimization".

Image Restoration and Topological Optimization

Image Restoration and Topological Optimization

... imagery. Image enhancement and restoration procedures are used to process degraded images of unrecoverable objects or experimental results too expansive to ...archaeology, image processing methods ... See full document

5

A conjugate gradient algorithm and its application in large scale optimization problems and image restoration

A conjugate gradient algorithm and its application in large scale optimization problems and image restoration

... unconstrained optimization problems, a modified PRP conjugate gradient algorithm is proposed and is found to be interesting because it combines the steepest descent algorithm with the conjugate gradient method and ... See full document

25

A new smoothing modified three term conjugate gradient method for \(l {1}\) norm minimization problem

A new smoothing modified three term conjugate gradient method for \(l {1}\) norm minimization problem

... constrained optimization problem are three kinds of important optimization problems ...large-scale optimization problems [24, 25], total varia- tion image restoration [26], monotone ... See full document

14

Finite Step Method for the Constrained Optimization Problem in Phase Contrast Microscopic Image Restoration

Finite Step Method for the Constrained Optimization Problem in Phase Contrast Microscopic Image Restoration

... automated image analysis. Image formation in phase contrast microscopy has been modeled as a convolution of the sample with the point spread function of the microscope on a background and distorted by ... See full document

7

IAENG International Journal of Applied Mathematics, 36:1, IJAM_36_1_8

IAENG International Journal of Applied Mathematics, 36:1, IJAM_36_1_8

... entropy restoration the constraint is used such that pixels cannot take negative ...binary image restoration has been noted in [8, 9, 10, 11]: the optimization process to restore a noisy ... See full document

8

Performance Evaluation and Analysis of Image Restoration Technique using DWT

Performance Evaluation and Analysis of Image Restoration Technique using DWT

... for image restoration. For image restoration this method involves Novel Bayesian algorithm and also estimation of ...method image prior is used where the image is passed through ... See full document

10

Data-Driven Image Restoration

Data-Driven Image Restoration

... novel image denoising algorithm that uses external, category spe- cific image ...noisy image restoration algorithms that search patches either from a generic database or noisy image ... See full document

174

Evaluation of Blind image Restoration

Evaluation of Blind image Restoration

... restored image ‘f’ with respect to the observation data ...the image and identify the PSF ...to image ‘f’ and ‘q’ be the corresponding conjugate ...an optimization process are described as ... See full document

6

A Review on Enhancements of Weakly Illuminated Images

A Review on Enhancements of Weakly Illuminated Images

... swarm optimization algorithm used for minimization the noise present in the microscopy ...microscopy image restoration ...microscopy image to remove the Poisson ... See full document

5

Review on various noise models and image restoration techniques

Review on various noise models and image restoration techniques

... balance out the conduct reaction and conquer outer aggravations. The quality metric in light of obscure evaluation of de-convolved patches is proposed by creators to recognize the best PSF and figuring its relative ... See full document

6

Image Restoration Approaches for Image Quality Improvement

Image Restoration Approaches for Image Quality Improvement

... images. Image restoration also deals with removal of noise from different regions of the image by applying filters and convolution ...theorems. Image Restoration:Image restoration is ... See full document

5

Topological Optimization with the -Laplacian Operator and an Application in Image Processing

Topological Optimization with the -Laplacian Operator and an Application in Image Processing

... the topological optimization ...in image processing literature, and results are more or less comparative taking in to account the complexity of algorithms suggested and/or the cost of operations ... See full document

20

Restoration of Blurred Image Using Biogeography Based Optimization

Restoration of Blurred Image Using Biogeography Based Optimization

... While Biogeography based optimization can find global extreme. Genetic algorithm is slower than Biogeography based optimization [5][6]. The Population size field in Population options determines the size of ... See full document

5

GA Based Image Restoration by Isophote Constraint Optimization

GA Based Image Restoration by Isophote Constraint Optimization

... technique, image restoration is com- puted by the propagation of the best chromosome only in the direction orthogonal to the contour that leads to the ...GA-based image restoration to restore ... See full document

6

A Comprehensive Study on Significance of Image De-Noising and De-Blurring Applications in Computed Tomography

A Comprehensive Study on Significance of Image De-Noising and De-Blurring Applications in Computed Tomography

... present, image de-blurring is as prosperous as it were fifty years ago in the area of astronomical ...However, image de-blurring techniques have shown us with incredible images of our ...imaging, ... See full document

5

A new nonlocal variational bi-regularized image restoration model via split Bregman method

A new nonlocal variational bi-regularized image restoration model via split Bregman method

... performs adaptive smoothing but also preserves edges. The rest of the paper is organized as follows. Section 2 recalls some results on nonlocal operators and split Bregman method. The proposed variational bi-regula- ... See full document

10

Topological challenges in multispectral image segmentation

Topological challenges in multispectral image segmentation

... and image segmentation. To produce high-quality image segmentations, the contour detector is linked with a generic grouping algorithm consisting of two ...new image transformation called the Oriented ... See full document

15

Visibilty Restoration for Dehazy Image

Visibilty Restoration for Dehazy Image

... There square measure a good kind of approaches to analyzing personal coloring. the foremost well- known is "seasonal" color analysis, that places individual coloring into four general categories: Winter, Spring, ... See full document

6

An Hybrid Approach For Image Restoration

An Hybrid Approach For Image Restoration

... The efficient, speedy, economical and accurate algorithm for deconvolution process of a blurred image is the challenging task before the researchers. Various attempts of the researches in this regard ended in ... See full document

8

The Sixth Sense Technology

The Sixth Sense Technology

... of image with the mean of all neighboring pixel values, we replaces it with the median ...of image which is to be consider contain an even numbers of pixels, than the average of the two middle pixel values ... See full document

11

Show all 10000 documents...