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43 articles for “image restoration”
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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A Novel Approach of Image Restoration Based on Segmentation and Fuzzy Clustering
Abstract: Image restoration is the process of restoring or deblurring an image which had been undergone certain degradations. In this paper, we proposed a method for image restoration based on segmentation and fuzzy clustering. This method consider the similar image pair in which there is a clear part in one image corresponding to degraded one in another. This proposed method firstly partition the image into specified segments and then use fuzzy …
Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 1–6 Read article
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A Brief Review on Image Restoration of Foggy Image with its Techniques
Abstract: Fog removal also known as visibility restoration refers to the different method that aims to reduce or remove the degradation that has occurred while the digital image was being obtained. The degradation may be due to various factors like relative object-camera motion, blur due to camera miss-focus, relative atmospheric turbulence and others. This paper has focused on the various fog removal techniques like dark channel prior (DCP), CLAHE, wiener filtering, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 45–51 Read article
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Estimation Techniques in Image Restoration - A Survey Approach
Abstract: In the present paper a comparative study of various estimation techniques based on neural network, MATLAB, partial differential equation (PDE) and other proposed models for image restoration are been discussed. An image may be distorted, noisy or blurred and not suitable for extracting desired information or data, so it needs to be restored for desired application. Image restoration techniques are oriented towards modeling the degradation, blur and noise and applying …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 11–16 Read article
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A Parallel Online Learning Algorithm for Anisotropic Digital Image Restoration
Abstract: Previously, in the computational scenarios where the training data has already been made available for the learning algorithm, the kernel based algorithm such as support vector machines have made significant advances in the machine learning field. Though there has been little advancement made in learning scenario at online settings to facilitate the various real-time applications at the user end. In this study we discussed the issues with the online learning …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 21–26 Read article
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Simulation of Image Processing and Restoration Through A Base Image Using Matlab
Abstract: Basically, in image processing the main work is done on pixels and its value. Basically, an image is a two-dimensional function f(x, y), where x and y are spatial coordinates. Here, in the present study geometrical transformation is being used for image restoration and processing. Steps are carried some for the result outcome. First the image is read in the algorithm, further the coordinates and pixels are being specified, and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 31–40 Read article
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A Review on Various Image and Video Restoration Techniques
Abstract: Reconstruction of low value deteriorated image into high quality improved image is termed as image restoration. The sight of this paper is to have knowledge about mixed restoration techniques like, average filter, median filter, wiener filter, blind de-convolution, and wavelet transform etc. The basis of restoration is to undo the operation of degraded image. There are many grounds because of which degradation takes place like, poor weather conditions, camera misfocus, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 50–58 Read article
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Simulation of Image Processing using Linux Operating Systems
Abstract: AbstractImage processing and restoration through a base image can provide useful information about the scene, such as saliency and depth map. We first apply the geometric transformation algorithm for restoration of the blurred image. As suggested in the base paper that the geometric analysis will provide us the fine feature available in the image, we have utilized this algorithm for the purpose of image restoration. Measuring the amount of blur …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 3, 2020 · pp. 16–22 Read article
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Deblurring Image Secured Using Blind Deconvolution Algorithm with RSA Algorithm
Abstract: AbstractHow one can get a clear picture from a single motion blurred picture has been a difficult open problem in digital imaging. In this paper, our focal point is on image restoration which is in many instances talked about image deblurring or image deconvolution. Image restoration is the procedure of recovering the common picture from the degraded picture. Image deblurring is a technique to make the picture sharper and great …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 20–26 Read article
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A Novel Blind Restoration Technique Using Different Edge Detection Methods
Abstract: Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article
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Image Reconstruction of Noisy Distorted Images Using Deep Learning Methods: A Review
Abstract: AbstractThe field of digital image processing deals not only with the extraction of features and analysis of images but also restoration of images. Image restoration is one of the basic steps of processing that deals with making certain improvements in a digital image based on some predefined criteria. A deep learning architecture for image restoration that attains statistically significant improvements over traditional algorithms is Poisson image de-noising, especially when the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 3, 2020 · pp. 21–25 Read article
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Satellite Image Processing Using ERDAS Imagine
Abstract: Pictures are the best method for passing on data. Words usually cannot do a picture justice. Pictures briefly pass on data about positions, sizes and interrelationships between articles. People are great at getting data from such pictures, in light of our characteristic visual and mental capacities. Around 75% of the data got by human is in pictorial structure. The paper depicts the essential innovative parts of advanced picture preparing with …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 14–21 Read article
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A Relative Study of Various Noise Removal Techniques in Images
Abstract: AbstractIn image processing, noise reduction and restoration of image is expected to enhance the qualitative inspection of an image and the performance criteria of quantitative image analysis methods. Digital image is inclined to a variety of noise which attribute the quality of image. The main purpose of de-noising the image is to reinstate the detail of original image as much as possible. The criteria of the noise removal problem depend …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 22–30 Read article
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Enhanced Genetic Algorithm Applied for Image Denoising Problem
Abstract: This research introduces a new approach to restoring an image disrupted by salt and pepper (SPN) noise using a genetic algorithm (GA) at all densities, called Enhanced GA (EGA). The key contribution of the proposed algorithm is to merge the genetic algorithm with imaging approaches that are embedded into the population in order to achieve rapid convergence. The concept is to turn a group of entities into a variety of …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 1–11 Read article
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Reconstruction Techniques for Super Resolution Using Low Resolution Images
Abstract: The aim of Super Resolution (SR) reconstruction is to restore High Resolution (HR) image using information obtained from many degraded and aliased Low Resolution (LR) images. SR is signal processing for bandwidth expansion beyond the pass band of the imaging hardware system by using spatio-temporal information available from LR images. Over last three-decade various researchers contributed in the field of SR, but all are intuitive SR mechanisms. This paper employs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 5–13 Read article
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Design Simulation and Assessment of Image De-noising through Improved Median Filters Based Sub band Decomposition
Abstract: The quality of an image sequence can degrade due to a number of causes, such as noise in the recording, transmission, or scanning. Additionally to enhancing the visual appeal, filtering offers the advantage of facilitating subsequent image processing tasks like coding, interpretation, or analysis. While attempting to restore a perfect image from a faulty copy, noise reduction is a top concern. Because of this, there isn't a single strategy that …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 9–21 Read article
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A Survey on Various Image De-noising Methods
Abstract: Image de-noising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods. The restoration of a blurry or noisy image is commonly performed with a maximum a posteriori probability (MAP) estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 10–14 Read article
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Reconstruction of Images using Image Inpainting and Super Resolution
Abstract: Image completion of large missing regions in a selected image is a challenging task. Old photographs have some part of the image distorted or some part of it is ruined by folds and creases. Hiding these flaws or covering such missing regions is a necessity sometimes and needs to be solved by using some advanced techniques. Inpainting is one such technique that helps to overcome these problems. Inpainting is a …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 1, 2014 · pp. 12–18 Read article
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Overview and Performance Evaluation of BM3D Image Denosing
Abstract: We propose an information subordinate denoising technique to restore uproarious pictures. Not quite the same as existing denoising calculations which hunt down patches from either the boisterous picture or a nonexclusive image, the new calculation finds patches from an inputting image that contains applicable patches. We detail the denoising issue as an ideal channel plan issue and make two commitments: Initially, we decide the premise capacity of the solving so …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 2, 2016 · pp. 23–29 Read article