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284 articles for “image quality”
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Implementation of Image Processing Technique to Assess the Surface Free Energy of Asphalt Binder
Abstract: The adhesive properties of asphalt binder are considered as a major issue in the durability of the pavement. When asphalt cement does not match the standard specification required for paving work, one of the existing remedy processes is to implement modifiers to enhance the quality. Image processing technique can detect the variation in the adhesive properties through the assessment of surface free energy of the binder. In the present assessment, …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 12–20 Read article
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Detection of Facial Parts based on ABLATA
Abstract: Facial feature detection from standard 2D RGB images is a well-researched field but out of prolific techniques there isn't much efficacy is achieved in the previous studies that can extract feature data even for a low quality images in real time. Hence, we propose an algorithm based on Attribute Based Level Adaptive Algorithm (ABLATA) which use recursive data estimates for this task. While the recursive data estimates learns the relation …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 36–41 Read article
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Image Compression via Non-separable Discrete Fractional Fourier Transform
Abstract: The main idea behind image compression is to reduce the bandwidth for transmission and required space for storage. Thus, image compression is of great importance. In this paper we present the image compression technique using Non-Separable Discrete Fractional Fourier Transform (NSDFrFT). Numerical simulation results suggested that image compression method using NSDFrFT as transform technique gives better performance for images when compression ratio is high in comparison to DFrFT and JPEG. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 3, 2015 · pp. 1–9 Read article
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A Study of DCGAN-Based Generative Models for Anime Character Face Generation
Abstract: Artificial intelligence, or AI, has in recent years moved from simple rule-based systems to models that are now fully capable of creative content generation and are referred to as generative AI. One such approach for content generation, introduced in the year 2014, is called generative adversarial networks (GANs), which consists of training a generator to create fake content that tries to mimic real content as closely as possible and a …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 31–41 Read article
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A Survey of Multiwavelet Filtering Based Denoising Techniques for 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. We have presented a survey of the popular denoising techniques used in the literature to achieve the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 1–4 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Nuclear Diagnostic Imaging for PET Scan using Technetium-99m
Abstract: AbstractNuclear diagnostic procedures are used in almost every hospital worldwide on a daily basis. PET scan is the most commonly used nuclear medical imaging procedure. PET scan is considered a safer alternative to other nuclear diagnostic procedures. It is primarily used to identify the diseases, predict the possibility of occurrence of a particular disease, planning and analysis of a treatment. The PET scan has many applications but its only side …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 1–3 Read article
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Image Enhancement Techniques for Digital Images
Abstract: In image processing, image enhancement is a challenging problem. Image enhancement aims to process an image in a way that makes the final product better suited for a particular application than the original. There are numerous ways to improve the quality of images using digital image enhancement techniques. It is crucial to use these techniques correctly. Image enhancement is a critical aspect of image processing, focusing on improving the visual …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 14–18 Read article
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Detection of Brain Tumors from MRI Images Based On Development of Thinking Computer Systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 12, Issue 4, 2022 · pp. 28–34 Read article
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Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
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Detection of Brain Tumors from MRI Images based On Development of Thinking Computer systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 28–34 Read article
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Model Implementation & analysis in Face Recognition and Attendance System
Abstract: Face detection involves separating image windows into two; one containing faces (turning the background (clutter). It is difficult because although commonalities exist between faces, they can vary considerably in terms of age, skin color and facial expression. The problem is further complicated by differing lighting conditions, image qualities and geometries, as well as the possibility of partial occlusion and disguise. An ideal face detector would therefore be able to detect …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 2, 2020 · pp. 34–40 Read article
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Results of Thermal and Electric Field Influences on Cholesteric Liquid Crystals and their Application in new Technologies
Abstract: A significant achievement of recent decades is application of cholesteric liquid crystals in modern optical technologies. Cholesteric liquid crystals (ChLC) have unusual, and in some cases unique properties compared to traditional optical materials - the possibility of smooth and local control optical characteristics of the medium: light transmission, light scattering, polarization, refraction, reflection, absorption light, and color parameters. This control can be carried out electrical, light signals, mechanical, thermal, magnetic …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 2, 2021 · pp. 15–23 Read article
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Covariance based Clustering for Digital Image Compression
Abstract: Traditionally clustering is done based on distance between the data points and the cluster centroids. A new type of clustering based on distance between the covariance matrices of the clustered data points was recently introduced. This allows clustering data points according to their spatial distribution model. This paper presents an improved algorithm for the computation of covariance based clustering with application to digital image compression. Karhunen-Loeve Transform is an optimal …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 16–21 Read article
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A Survey on Face Recognition Techniques and Its Applications
Abstract: Face recognition has been a fast growing, and interesting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions; for video-based recognition it is hard to achieve similar levels of performance. Human face detection and tracking of moving objects in the video are important tasks of the computer vision. Human and object frames are separated by implementing a face detection algorithm for …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 16–21 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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Spatio—Temporal Changes of Forest Cover in Baramulla District
Abstract: The present study aims to study the forest cover change detection in district Baramulla from 1980 to 2014. Normalized Deference Vegetation Index (NDVI) was used to measure the change detection. The images of two different time periods 1980 (MSS) and 2014 (OLI) have been used to measure the change detection in the study area. Spatial and Radiometric Enhancement has been carried out to improve the image quality. The resulted values …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 3, 2017 · pp. 1–7 Read article
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Assessment Of Land Use And Land Cover Change In District Baramulla (J&K)
Abstract: The present study aims to study the land use land cover change detection in district Baramulla from 1980 to 2014. The images of two different time periods 1980 (MSS) and 2014 (OLI) have been used to measure the change detection in the study area. Spatial and radiometric enhancement has been carried out to improve the image quality. The analysis revealed that the area under built-up, horticulture and pasture has shown …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 3, 2017 · pp. 1–14 Read article
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Optimization of Artifact Free Image Upscaling Using Genetic Algorithm
Abstract: Creating an upscaled image from a low-resolution (LR) image to high resolution (HR) is very interesting. The nature and texture of an image should be maintained during upscaling of an image. This upscaling is also termed as “super-resolution”. It is related to both, statistical relationships between low-resolution and high-resolution. Several methods have been proposed to obtain better results, involving simple heuristics, edge modeling or statistical learning. The most powerful ones, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 21–29 Read article