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43 articles for “image restoration”
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Ameliorated perceptive approach to MSRCR algorithm for image augmentation
Abstract: Retinex theory was developedby Edwin H.Land in the year of 1964.Retinex based image enhancement system improves the quality of image. The dominant assumption of retinex theory is that the image can be decomposed in to two factors, one is Reflectance and the other one is illumination. It increases the human perception of information. The color image enhancement methods are used to increase the contrast of color images. The human visual …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 17–26 Read article
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Image Inpainting Techniques Comparative Analysis for the Amputation of Smearing Effects from the Inpaint Image
Abstract: Image inpainting is the process to reconstruct the missing or damaged portions of the image, in order to make it more legible and restore its unity. This can be done by using information from adjoining areas and amalgamate the inpainted area into the image so impeccably that a typical viewer is not aware of it. The eminence of the upshot will depend on what is omitted. If the inpainting region …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 1, 2017 · pp. 1–6 Read article
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Image Enhancement by Correction of Cllipped Pixels: An Exemplification
Abstract: Conventional images store an extremely constrained element scope of brightness. The genuine luma in the bright region of such pictures is regularly lost because of section. At the point when section changes the R, G, B shading ratios of a pixel, shading twisting likewise happens. In this paper, we propose an algorithm to improve both the luma and chroma of the clipping pixels. Our method is in view of the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 1, 2016 · pp. 30–38 Read article
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Video Restoration Based on Linear Transformation Method For Real Time Fog –Free Vision In Vehicles
Abstract: The detecting problem of day time fog and calculating visibility distances is the main focus of this paper. An original linear transformation method has been developed for achieving the goal. The solution mentioned here, features the benefit of using a single video camera output. From the camera output the sky region and the fog infected region are identified. The fog infected region is further applied quad-tree subdivision, based on this, …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 1, 2018 · pp. 34–40 Read article
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A Study on Computer Vision: Techniques, Algorithms and Application
Abstract: This study gives a brief explanation or idea about what computer vision is and how it is implemented. Computer vision has so many different applications which are being used and are also under development for future enhancements. All this information can be found here in this research work. Computer vision is a branch of computer science that aimed at developing digital system, which is capable of processing, analysing, and comprehending …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
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Historical Kannada Handwritten Character Recognition using K-Nearest Neighbour Technique
Abstract: AbstractMost of the historical Kannada handwritten documents are preserved in the manuscript preservation center and archaeological department, and these documents are generally degraded in nature and it is very difficult to read and understand the contents in it. Hence, it is very much essential to digitize the historical Kannada handwritten document and recognize its originality of dynasty. The main objective of this paper is to digitize and recognize the historical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 23–29 Read article
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Digital Resurrection: Restoring Fragile Documents with OCR
Abstract: In creating a typical Optical Character Recognition (OCR) system, several steps are involved, such as preprocessing, segmentation, feature extraction, and classification. Preprocessing, which is a particularly interesting and challenging aspect of Document Analysis and Recognition (DAR), deals with converting scanned or photographed images containing machine-printed or handwritten text, including numbers, letters, and symbols, into a format that the system can understand. Segmentation is a crucial task in any OCR system, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 29–35 Read article
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A GAN Based Automatic Image Colourizer
Abstract: A fascinating skill in computer vision under Artificial intelligence is the technique of automatically changing monochrome photos into colour ones without human assistance. When a substantial annotated dataset is not readily accessible, transfer learning is commonly employed as the preferred approach. Typically, this involves utilizing pre-trained models with extensive general knowledge gained from training on ImageNet, which are subsequently fine-tuned to cater to specific tasks. From the utility point of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 1–11 Read article
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Review on an Extensive Examination of Current Trends and Advances in Dentistry
Abstract: This comprehensive review delves into current trends and recent advancements shaping the field of dentistry across multiple disciplines. It covers oral anatomy, diagnostic methodologies, preventive and restorative dentistry, prosthodontics, endodontics, periodontics, orthodontics, oral surgery, pediatric dentistry, dental education, and ethical considerations.The article explores advancements in imaging technologies, biomarkers, and dental materials, as well as innovations in preventive care, dental implants, root canal therapies, and periodontal treatments. It emphasizes the integration …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 2, 2024 · pp. 26–31 Read article
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Sensible Machine ELMAN Network Neural System Using Brain Computing Interfaces
Abstract: Man–machine interface has been one of the growing fields of research and development in recent years. Most of the effort has been dedicated to the design of user-friendly or ergonomic systems by means of innovative interfaces such as voice recognition, virtual reality. A direct brain–computer interface (BCI) would add a new dimension to man–machine interaction. A brain–computer interface, sometimes called a direct neural interface or a brain machine interface, is …
Published in Journal of Open Source Developments · Vol. 3, Issue 1, 2016 · pp. 19–30 Read article
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Application of Remote Sensing and GIS Techniques for Decadal Change Detection of Mangroves along Tamil Nadu Coast, India
Abstract: Mangrove forests are among of the most productive and biologically important ecosystems of the world. The mangrove forests aids stabilize shorelines and reduce the devastating impact of natural disasters such as tsunamis and hurricanes. They also provide breeding and nursing grounds for marine and pelagic species, and food, medicine, fuel and building materials for local communities. Despite of its immense importance, it is declining due to increasing coastal population, urbanization …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 42–53 Read article
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Vegetation Classification Based on Leaf Pattern
Abstract: In this current world, vital species of plants are going to be lost day by day. To command, this phenomenon, steps are first discovering then restoring and retain them. Among them, spotting of plant is giving up challenging. Usually, plants are recognizing from their leaves. In this paper, a deep neural network model is implemented which will extract the hidden pattern form leaf images. A classifier named as Convolutional Neural …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 9–16 Read article
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Skin Tone Detection Applies to User Secure Authentication Using Advanced Encryption Standard and Steganography
Abstract: Filtering of image content, compressing the content aware image and video applications of color balancing can advantage from automatic skin detection in the images. Biometric characteristics are used for usage of skin tone images region steganography. Here, significant information is implanted within the skin image region which will provide an outstanding data hiding secure location. For this, detection of skin tone is required to be performed. Various information hiding steps …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 21–32 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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From Battlefield to Biodiversity: The Evolution of Drones in Modern Conservation Efforts in Wildlife
Abstract: The rapid advancement of drone technology, encompassing unmanned aerial vehicles (UAVs), unmanned aircraft systems (UAS), and remotely piloted aircraft (RPAs), has significantly impacted various fields, particularly environmental management and wildlife conservation. Originally designed for military use, drones have now become essential tools in ecological research, offering a cost-effective and minimally invasive way to monitor and protect ecosystems. These sophisticated "eco-drones" have revolutionized data collection, especially in hard-to-reach and previously inaccessible …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 8–12 Read article
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Fuzzy Keyword Search over Encrypted Data in Cloud Computing using String Matching Algorithm
Abstract: AbstractAs cloud computing ends up plainly overarching, over and extra sensitive information square measure being incorporated into the cloud. In spite of the fact that antiquated accessible encoding plans empower a client to immovably seek over scrambled learning through catchphrases and by choice recover records of premium, these systems bolster exclusively exact watchword look. Amid this paper, for the most vital time, we have a tendency to celebrate and explain …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 8–12 Read article
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Syndesis for the dislocation of the acromioclavicular joint with artificial tendon and therapeutic results.
Abstract: Background: Operation is applied for type 5 acromioclavicular joint dislocation on Rockwood’s classification. We think that use of the artificial tendon best restores the function of the acromioclavicular joint. We tried to correctly reconstruct the anatomy of the acromioclavicular ligaments and describe the treatmet using the artificial tendon.Materials and methods: There were 25 patients; mean age at surgery, 37.2 years. Mean time to surgery was 12.5 days. Mean follow-up was …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 1, 2023 · pp. 25–28 Read article
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Soil Erosion Assessment and Its Effect on Sustainability for a Mountainous Watershed using Remote Sensing and GIS
Abstract: Normal 0 false false false EN-US X-NONE AR-SA Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Soil erosion is an important social and economic problem, and an essential factor in assessing health and function of ecosystem. Soil-erosion control requires a quantitative evaluation of potential soil erosion on a specific location. The revised universal soil loss equation (RUSLE), remote sensing, and …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 68–80 Read article
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Assessing of Forest Structure Using Earth Observation Data: A Case Study in Munessa Forest, Oromia Region, Ethiopia
Abstract: Understanding forest structure is crucial for estimating carbon emissions associated with forests, assessing forest degradation, and evaluating the success of forest restoration efforts. However, forest structure quantification is limited to the area of interest without considering the whole forest coverage. Forest structure may be easily assessed over a wide area using data from remote sensing. Thus, by combining ground observation with satellite-based light detection and ranging (LiDAR) and Sentinel 2 …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 28–37 Read article