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275 articles for “digital image”
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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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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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Design and Implementation of Improved Image Compression Algorithm using Hybrid Approach of DWT, DCT and SVD
Abstract: In today’s digital world, the latest technology is being developed in field of communication, network, digital data storage, etc. Use of internet is increased rapidly in world of business and profession. A study conducted by research says that 1.1 billion people have regular web access and use application like electronic mail, instant messaging, social networking, online messaging etc. which, helps in growth and knowledge sharing in different domains such as …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Rotation Invariant Copy-Move Image Forgery Detection Using a Method Based on Fuzzy-Zernike Moments
Abstract: AbstractWithout leaving any visual clue, digital images are easy to manipulate due to the availability of countless editing software packages. Any image manipulation can become a forgery. Copymove forgery is a very common method of creating forge images by copying some part of the image and pastes it on the same image. In this paper, we propose a copy-move digital image forgery detection method using Fuzzy-Zernike Moments. The proposed method …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 58–68 Read article
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Recovering the History of Filtered JPEG Images for Forensic Detection
Abstract: The image editing software available today are apt for creating visually compelling and sophisticated fake images, which cause major issues to the reliability of digital contents as a right representation of reality. Authenticity is the main problem in most digital image communications. Various forensic techniques have been developed for the verification of image integrity, authentication, and tampering detection. Digital image forensics aims at finding the authenticity of images by recovering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 1–6 Read article
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A Review: Inspection of Objects Using Computer Vision
Abstract: AbstractThis paper is motivated mainly by the need for more efficient and advanced techniques in an inspection of an object because accurate and timely information is needed for any industries to improve their quality and increase the production of goods. The objective of this paper is to provide an inexpensive and comprehensive review of defect inspection techniques. Now a day’s new computer vision technologies and image processing technologies have been …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 2, 2019 · pp. 1–5 Read article
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Inspection of Objects using Computer Vision
Abstract: This study is motivated mainly by the need for more efficient and advanced techniques in an inspection of an object because accurate and timely information is needed for any industry to improve their quality and increase the production of goods. The objective of this study is to provide an inexpensive and comprehensive review of defect inspection techniques. Nowadays, new computer vision technologies and image processing technologies have been very important …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 3, 2020 · pp. 6–16 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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A Review on FPGA Parallel Architecture for Object Detection
Abstract: The main purpose in the case of present paper is to summarize the different parallel architecture techniques implemented on FPGA by which we can fulfil our requirement of object detection in image processing system. In image processing, it is difficult to find high precision and real time performance even in most powerful CPU. The various parallel architecture techniques can help in to give better performance and achieve high precision. This …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 42–48 Read article
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Detection of Image Tempering: An Exhaustive Survey
Abstract: In modern technology, the manipulation of the digital image is very easy and common. An image can be tampered simply by photo editing software like Photoshop in a very advanced way. The motive of this research is to detect and confront the validness of the image, and if the image has been produced or altered at that point recognizing the altered locale of the image. Here we are utilizing different …
Published in Journal of Open Source Developments · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article
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Lossy Image Compression Using Exponential Growth Equation and Encryption by Natural Exponential Function
Abstract: AbstractImage compression is an essential technology in transmission and storage of digital images because of vast data associated with them. So, image compression plays an important role in the transmission of digital images through the internet with less bandwidth and occupies less space in memory. This research suggests a new image compression method based on exponential growth equation. The exponential growth equation is used for the image compression. The effectiveness …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 46–55 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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Smile Detection Techniques in Real-time Video Environment
Abstract: Humans have very good visual system which helps to identify people and objects, perform operations, drive vehicle, read text and so on. Although it might be seen that humans do not take special effort to do most of these tasks. Human visual system is fairly complex to replicate and implement. Computer vision in the simplest term is an automation of human visual system, so that computer and machines obtain high …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 40–46 Read article
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A Novel Multi-Wavelet Based Image Filtering Technique for Noise Reduction in Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. Though there are several works on image denoising algorithm but they aren’t much to pay emphasis over …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 12–17 Read article
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A Survey on Different Median Filtering Techniques Used for Removal of Impulse Noise
Abstract: AbstractImpulse noise is one of the major noise which diminish the digital image. In image processing the impulse noise can not only corrupt the image but also damage the important information in it. In order to remove impulse noise, researches have came up with various filtering algorithm. Median filtering is one of the best choice in order to deal with the impulse noise in digital images. Since there are many …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 1, 2019 · pp. 1–5 Read article
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Identification of Diabetic Foot Ulcer by Using Filter and Pixel Classification Methods
Abstract: Ulceration of the foot in diabetes is common and disabling and frequently leads to amputation of the leg. Mortality is high and healed ulcers often recur. The pathogenesis of foot ulceration is complex, clinical presentation variable, and management requires early expert assessment. Interventions should be directed at infection, peripheral ischaemia, and abnormal pressure-loading caused by peripheral neuropathy and limited joint mobility. Despite treatment, ulcers readily become chronic wounds. Diabetic foot …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 1, 2015 · pp. 22–31 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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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Contrast Image Enhancement Using Various Approaches: A Review
Abstract: AbstractImage enhancement is one of the most key issues in high quality pictures such as digital cameras and image research area. Since picture readability may be very effortlessly affected because of lighting fixtures during image acquiring, climate, or other equipment that has been used to seize the picture. These conditions may lead to image suffering from poor contrast and noise. Contrast enhancement converts the pixels depth of the input picture …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 39–45 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