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121 articles for “image de-noising”
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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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Detect the Edges of Hygienic Images and De-Noised Images Using Meta Heuristic and F-Ratio
Abstract: AbstractEdge detection is one of the important parts of image processing. It is essentially involved in the pre-processing stage of image analysis and computer vision. It generally detects the contour of an image and thus provides important details about an image. So, it reduces the content to process for the high-level processing tasks like object recognition and image segmentation. The most important step in the edge detection, on which the …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 19–25 Read article
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Comprehensive Review and Analysis of Improved Filtering Methodology Based Image De-noising System
Abstract: A digital image is often ruined by noise that comes from the process and equipment used to make it or that is added to the image while it is being sent. Different kinds of noise, like impulse noise, uniform noise, Salt-and-Pepper noise, and additive Gaussian noise, can show up in images. Using a good image de-noising method, noise can be taken out of an image to bring back its details. …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 2, 2022 · pp. 34–45 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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Edge Preserving Image De-noising using Adaptive Thresholding
Abstract: This paper proposes a new image denoising method that is the wavelet threshold denoising of image based on edge detection. Before denoising, wavelet coefficients of an image are first detected, that correspond to edges. Then, the detected coefficients i.e. edges will be preserved from denoising by reducing the threshold coefficient of the original threshold then apply the reduced threshold and this will further protect edges from any damage. In this …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 20–29 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 New Approach to Reduce Guassian Noise in Images using Fuzzy Logic
Abstract: The quality of an image in any image processing algorithm plays a vital role as the quality of image is a primary thing. There are several techniques employed to enhance the quality of the image. Few techniques are applied to all images irrespective of the noise and few are employed to reduce particular type of noise present in the images. In this paper a new method is used for the …
Published in Recent Trends in Programming languages · Vol. 1, Issue 2, 2014 · pp. 7–11 Read article
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A Novel Decomposable Pixel Component Analysis Algorithm for Automating Multispectral Satellite Image Denoising
Abstract: In comparison with the standard RGB or gray-scale images the usual multispectral images (MSI) is intended to convey high definition and an authentic representation for real world scenes to significantly enhance the performance measures of several other tasks involving with computer vision, segmentation of image, object extraction and object tagging operations. However, in practices a MSI image is always prone to corruption by various sources of noises while procuring the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 3, 2014 · pp. 18–25 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Analysis of Discrete Wavelet Transform for Denoising of Breast CT Image
Abstract: During acquisition of medical images noise gets induced in the digital image by various effects. The state of art devices used for capturing the images introduces complex type of addition noise in the images. No medical imaging devices are noise free. The most commonly used medical images are acquired from MRI (Magnetic Resonance Imaging), CT (Computed Tomography) and X-ray equipment’s. Additive noise into medical image decreases the visual quality that …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 1, 2018 · pp. 27–31 Read article
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A Comparative Study on Different Edge Detection Techniques after Applying Noise Removal Techniques to An Image
Abstract: In digital image processing and computer vision, image segmentation plays an important part. image segmentation refers to the sub division of image into different parts on the basis of different factors like edges, region, etc. edge detection is the most important factor of object recognition in an image. but unwanted signals like noise in an image can affect and degrade the edge detection process in image segmentation. this paper aims …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 33–40 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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A Survey Paper on Image Denoising Technique for Satellite Images
Abstract: AbstractImage denoising (ID) is a material issue found in various image processing (IP) and PC vision issues. There are numerous techniques of denoising images. The most necessary property of ID model is that it ought to totally diminish clamor, however much as could reasonably be expected and edge conservation. This paper gives a knowledge perspective of some real work in the field of ID. Specialists have distributed numerous calculations in …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 2, 2017 · pp. 1–9 Read article
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External Filtering and Wavelet Domain Thresholding-based Denoising Method for AWGN corrupted imagesExternal Filtering and Wavelet Domain Thresholding-based Denoising Method for AWGN corrupted images
Abstract: In this work an image de-noising method with external bilateral filtering and wavelet domain thresholding has been proposed. In Gaussian filtering, it fails to denoise an image at edges where the spatial variations are not smooth and causesblurs at the edges in the image. External bilateral filter (EBF) beats this by filtering the picture in both reach and area (space). Respective separating is a nearby, nonlinear and non-iterative procedure which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 11–19 Read article
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Design of Smart Filter for Impulsive Noise Cancellation in Images
Abstract: Noise is nature inherent. It can affect any type of signal or noise at the time of acquisition. Impulsive is one of the noise which appears suddenly with the signal or noise. In this paper, we have considered the images affected by impulsive noise. A filter based on fuzzy logic is designed and it can suppress noise in any environment at any time. It is based on standard fuzzy rules …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 56–65 Read article
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Image Enhancement Using Super Resolution Technique
Abstract: AbstractThe proposed super resolution technique finds it’s applicability in reconstructing a distorted image to a higher resolution image. The photographs consisting of the previous techniques were drawn towards lower force light which was considered to be a huge disadvantage. In view of this default, a novel strategy of Histogram. Equalisation is introduced and further detailed investigation is carried on. Light Enlightenment and picture quality is improved using the proposed technique. …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 12–16 Read article
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Survey Image Denoising with Its Comparative Techniques
Abstract: In Image processing, image denoising is a serious problem at some extent. Removing noise from the original image is still a problem. Various researchers have proposed many algorithms to overcome the problem of image denoising in image processing with its advantages. Depending on the type of the noise, the degradation of the image will vary. This paper presents a review of various researchers. Also present the noise model and their …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 2, 2015 · pp. 23–29 Read article
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Segmentation Methods Applied on MR Medical Application
Abstract: AbstractImage segmentation techniques as applied in MRI of human brain are developing by leaps and bounds. The human brain is the most imaging design of the nature. Cancer and neurological problems are resolved using MR of the brain. The automatic diagnostic system starts with medical imaging, segmentation and analysis of the findings and then the final decisions which are further used to treat the patient. In the real world certain …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 30–38 Read article
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Face And Spoofing Detection Via Genetic Algorithm-Based Feature Selection with MTCNN
Abstract: Face detection and liveness detection in various environments such as different lighting effects, occlusion, complex backgrounds, and different poses and angles play an important role in facial recognition or detection purposes. In this research paper, propose an improved algorithm for face detection and liveness, spoofing detection via genetic algorithm for feature selection, and mtcc detecting the edge of the facial image by Canny filter and spotting the face from the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 17–26 Read article
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Application of Image Denoising through Comorbid Pixel Regularization Algorithm based on Neuro-Fuzzy Rule
Abstract: This study presents a novel approach of image denoising for medical images. Since, for medical diagnosis, action of object extraction plays a vital role but such jobs are limited with the visual observation and there is no denying from the fact that the medical images are subjected to noise which makes it difficult for the medical practitioner to extract features from such noisy images. Therefore, for accurate decisions it is …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 2, 2014 · pp. 7–11 Read article