• No results found

[PDF] Top 20 Index terms: Blur, Deblurring, Image Restoration

Has 10000 "Index terms: Blur, Deblurring, Image Restoration" found on our website. Below are the top 20 most common "Index terms: Blur, Deblurring, Image Restoration".

Index terms: Blur, Deblurring, Image Restoration

Index terms: Blur, Deblurring, Image Restoration

... during image capture, acquisition, storage, transmission and ...because image is a widely used medium of communications, but also because it is an easy and compact way to represent the physical ...Digital ... See full document

7

Image Deblurring of License Plate

Image Deblurring of License Plate

... Image Restoration is basically an operation or set of operations performed on noisy input image to estimate a latent clean and noise free output ...in image are mainly gaussian noise, ... See full document

5

Image Restoration Using Blur Invariants In Wavelet Transform

Image Restoration Using Blur Invariants In Wavelet Transform

... Abstract-Image restoration is an important issue in high-level image ...of image restoration is to estimate the original image from the degraded ...photography deblurring, ... See full document

5

A Hybrid Method for Blur Invariants in Images using Contourlet Transforms

A Hybrid Method for Blur Invariants in Images using Contourlet Transforms

... the image restoration part of many ...of image restoration is to estimate the original image from the degraded ...different blur invariants had existed so ...the blur ... See full document

10

Blind and Non Blind Deblurring using Residual Whiteness Measures

Blind and Non Blind Deblurring using Residual Whiteness Measures

... systematic image restoration techniques were what to the engineering community after solving in many algorithms solving extensively increase the need for astronomy and many other images they found a way ... See full document

8

An Analysis on Implementation of various Deblurring Techniques in Image Processing

An Analysis on Implementation of various Deblurring Techniques in Image Processing

... model. Image deblurring (or restoration) is an old problem in image processing, but it continues to attract the attention of researchers and practitioners ...for image ... See full document

11

A Combined Image Deblurring Using Image Enhancements

A Combined Image Deblurring Using Image Enhancements

... blurred image I: F(I) = L with de- noting the output sharp ...the image narrow edges or details are severely damaged and very difficult to ...and restoration in a single step, based on zero crossings ... See full document

5

Image De Blurring using Blind De Convolution Algorithm

Image De Blurring using Blind De Convolution Algorithm

... various restoration techniques that have been developed to restore the original image from the degraded ...gaussian blur, motion blur and average ...in terms of parameter like PSNR ... See full document

6

An Adaptive Approach of Decomposition and Restoration of Single Blur Image Using Blind Deconvolution

An Adaptive Approach of Decomposition and Restoration of Single Blur Image Using Blind Deconvolution

... deblur image using weighted array system it is important to consider the image ...255×255 image size is taken. In order to get noise free image when the apriori knowledge of the PSF is not ... See full document

8

Novel Approach to Estimate Motion Blur Kernel Parameters and Comparative Study of Restoration Techniques

Novel Approach to Estimate Motion Blur Kernel Parameters and Comparative Study of Restoration Techniques

... be blur due to improper focusing of lens, atmospheric turbulence, undesirable working of optical systems, relative motion between the camera and ...the restoration of noisy and blurred images knowledge of ... See full document

6

IMAGE BLUR REMOVAL BY ADAPTIVE FILTERING

IMAGE BLUR REMOVAL BY ADAPTIVE FILTERING

... Digital image processing (DIP) has many significant advantages over analog image ...an image out of blur distortion. The image is distorted with Motion blur and Gaussian ... See full document

6

Image Deblurring with Color Depth Estimation and Visibility Restoration

Image Deblurring with Color Depth Estimation and Visibility Restoration

... based blur removal, contraststretching on histogram equalization and resolution enhancement purpose wavelet ...on blur removal on dark channel prior is to estimate scene depth in a single image and ... See full document

6

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS 
FOR ONE MAGNETRON

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON

... noise, blur and contrast ...of deblurring CT medical images affected by Gaussian blur. Image deblurring is the procedure of decreasing the blur amount and grant the filtered ... See full document

6

Blur Classification and Deblurring of Images

Blur Classification and Deblurring of Images

... real-world image classification tasks, a BDBN is developed under a semi-supervised learning framework, which makes the deep model work well when labelled images are ...for blur classification and parameter ... See full document

6

Deblurring of License Plate Image using Blur Kernel Estimation

Deblurring of License Plate Image using Blur Kernel Estimation

... plate image blurring caused by fast motion, the blur kernel can be viewed as linear uniform convolution and parametrically modelled with angle and ...recovered image, we determine the angle of the ... See full document

7

Regularization Rotational motion image Blur Restoration

Regularization Rotational motion image Blur Restoration

... motion image blur is variable fuzzy space, if we implement the above algorithms directly, we can't restore the rotate blurred image, so we will convert rotate the fuzzy problem into linear fuzzy to ... See full document

5

Set-Theoretic Characterization for Blur Face Recognition

Set-Theoretic Characterization for Blur Face Recognition

... input image are extracted and in the gallery for every image convex set is formed and their LBP features are extracted for comparison with probe ...probe image is compared with LBP features of all ... See full document

8

A Novel Approach for Facial Emotion Recognition Based On Kernel Extreme Sparse Learning with CSMP

A Novel Approach for Facial Emotion Recognition Based On Kernel Extreme Sparse Learning with CSMP

... assessment. The most troublesome task in image processing is the selection of suitable light source for applications but is often lacked care due to damage of the overall system. The assessment is additionally ... See full document

7

A Blind and Non Blind Deblurring: An Algorithm for Deblurring based on Residual Whiteness in Images

A Blind and Non Blind Deblurring: An Algorithm for Deblurring based on Residual Whiteness in Images

... PROPOSED WORK In the proposed criteria for the convolution is applied to the input image to remove blur after to estimate the residual image i.e., no blur is present in the image.finally[r] ... See full document

6

A Novel Approach to Scene Text Deblurring With Accurate Estimation of Kernels

A Novel Approach to Scene Text Deblurring With Accurate Estimation of Kernels

... Text data present in images contain useful information for automatic explanation, indexing, and structuring of images. Extraction of this information involves detection, localization, tracking, extraction, enhancement, ... See full document

7

Show all 10000 documents...