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MRI (Magnetic Resonance Imaging) is a technique used to analyze and diagnose the problem defined by images like cancer or tumor in a brain. Physicians require good contrast images for better treatment purpose as it contains maximum…

Computer Vision and Pattern Recognition · Computer Science 2020-03-17 Sakshi Patel , Bharath K P , Rajesh Kumar Muthu

Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual…

Computer Vision and Pattern Recognition · Computer Science 2010-03-23 Raman Maini , Himanshu Aggarwal

Quantum sensing exploits quantum phenomena to enhance the detection and estimation of classical parameters of physical systems and biological entities, particularly so as to overcome the inefficiencies of its classical counterparts. A…

Medical image enhancement is crucial for improving the quality and interpretability of diagnostic images, ultimately supporting early detection, accurate diagnosis, and effective treatment planning. Despite advancements in imaging…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Chun Wai Chin , Haniza Yazid , Hoi Leong Lee

Quantum imaging is emerging as a transformative approach for biomedical applications, applying nonclassical properties of light, such as entanglement, squeezing, and quantum correlations, to overcome fundamental limits of conventional…

To guide surgical and medical treatment X-ray images have been used by physicians in every modern healthcare organization and hospitals. Doctor's evaluation process and disease identification in the area of skeletal system can be performed…

Computer Vision and Pattern Recognition · Computer Science 2019-05-22 Rafsanjany Kushol , Md. Nishat Raihan , Md Sirajus Salekin , A. B. M. Ashikur Rahman

This paper deals with enhancement of images with poor contrast and detection of background. Proposes a frame work which is used to detect the background in images characterized by poor contrast. Image enhancement has been carried out by the…

Computer Vision and Pattern Recognition · Computer Science 2012-03-13 K. Sreedhar , B. Panlal

We propose a new approach to determine correspondences between image pairs in the wild under large changes in illumination, viewpoint, context, and material. While other approaches find correspondences between pairs of images by treating…

Computer Vision and Pattern Recognition · Computer Science 2021-03-29 Olivia Wiles , Sebastien Ehrhardt , Andrew Zisserman

This work presents an analysis of the efficiency of image augmentations for the face recognition problem from limited data. We considered basic manipulations, generative methods, and their combinations for augmentations. Our results show…

Computer Vision and Pattern Recognition · Computer Science 2021-05-20 Aleksei Zhuchkov

Inconsistency in contrast enhancement can be used to expose image forgeries. In this work, we describe a new method to estimate contrast enhancement from a single image. Our method takes advantage of the nature of contrast enhancement as a…

Computer Vision and Pattern Recognition · Computer Science 2017-06-14 Longyin Wen , Honggang Qi , Siwei Lyu

In the process of parametric optical image amplification, images are formed at new frequencies in addition to the amplified original image. We show that the parametric multiplexing of optical images can be used to produce an image with…

Quantum Physics · Physics 2019-03-27 D. A. Balakin , A. S. Chirkin

Existing image enhancement methods fall short of expectations because with them it is difficult to improve global and local image contrast simultaneously. To address this problem, we propose a histogram equalization-based method that adapts…

Computer Vision and Pattern Recognition · Computer Science 2022-09-15 Xiaomeng Wu , Takahito Kawanishi , Kunio Kashino

Nowadays digital image compression and decompression techniques are very much important. So our aim is to calculate the quality of face and other regions of the compressed image with respect to the original image. Image segmentation is…

Computer Vision and Pattern Recognition · Computer Science 2014-02-07 Abhishek Bhattacharya , Tanusree Chatterjee

Enhancement is an important step in post-processing digital images for personal use, in medical imaging, and for object recognition. Most existing manual techniques rely on region selection, similarity, and/or thresholding for editing,…

Graphics · Computer Science 2019-09-05 Junyi Tu , Paul Rosen

This article discuss the problem of color image content comparison. Particularly, methods of image content comparison are analyzed, restrictions of color histogram are described and a modified method of images content comparison is…

Computer Vision and Pattern Recognition · Computer Science 2018-04-05 Anas M. Al-Oraiqat , Natalya S. Kostyukova

Image defocus is inherent in the physics of image formation caused by the optical aberration of lenses, providing plentiful information on image quality. Unfortunately, existing quality enhancement approaches for compressed images neglect…

Image and Video Processing · Electrical Eng. & Systems 2023-03-14 Qunliang Xing , Mai Xu , Xin Deng , Yichen Guo

Image enhancement is an important image processing technique that processes images suitably for a specific application e.g. image editing. The conventional solutions of image enhancement are grouped into two categories which are spatial…

Computer Vision and Pattern Recognition · Computer Science 2016-09-14 Hui Li , Xiaomeng Wang , Weifeng Liu , Yanjiang Wang

Noise is an important factor which when get added to an image reduces its quality and appearance. So in order to enhance the image qualities, it has to be removed with preserving the textural information and structural features of image.…

Computer Vision and Pattern Recognition · Computer Science 2019-01-23 Vivek Kumar , Atul Samadhiya

Quantum entanglement and squeezing have significantly improved phase estimation and imaging in interferometric settings beyond the classical limits. However, for a wide class of non-interferometric phase imaging/retrieval methods vastly…

With the increase of computing power, machine learning models in medical imaging have been introduced to help in rending medical diagnosis and inspection, like hemophilia, a rare disorder in which blood cannot clot normally. Often, one of…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Qianyu Fan
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