Results 281 to 290 of about 13,238,104 (357)
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Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
Neural Information Processing Systems, 2023This paper studies a diffusion-based framework to address the low-light image enhancement problem. To harness the capabilities of diffusion models, we delve into this intricate process and advocate for the regularization of its inherent ODE-trajectory ...
Jinhui Hou +5 more
semanticscholar +1 more source
A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancement
IEEE transactions on circuits and systems for video technology (Print), 2023This paper presents a perception-aware decomposition and fusion framework for underwater image enhancement (UIE). Specifically, a general structural patch decomposition and fusion (SPDF) approach is introduced.
Yaozu Kang +5 more
semanticscholar +1 more source
Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement
IEEE Transactions on Image Processing, 2021Due to the absence of a desirable objective for low-light image enhancement, previous data-driven methods may provide undesirable enhanced results including amplified noise, degraded contrast and biased colors.
Wenhan Yang +4 more
semanticscholar +1 more source
American Journal of Roentgenology, 1983
A blurred mass subtraction technique has been developed for mammography that will enhance small object contrast and visibility throughout the breast area. The procedure is easy to implement and requires no additional exposure. Perception of low-contrast objects is improved by eliminating extreme light and dark image areas. Contrast of structures within
M B, McSweeney, P, Sprawls, R L, Egan
openaire +3 more sources
A blurred mass subtraction technique has been developed for mammography that will enhance small object contrast and visibility throughout the breast area. The procedure is easy to implement and requires no additional exposure. Perception of low-contrast objects is improved by eliminating extreme light and dark image areas. Contrast of structures within
M B, McSweeney, P, Sprawls, R L, Egan
openaire +3 more sources
Gastrointestinal Endoscopy, 2011
The American Society for Gastrointestinal Endoscopy (ASGE) Technology Committee provides reviews of emerging endoscopic technologies that have an impact on the practice of GI endoscopy. Evidence-based methodology is used, with MEDLINE and PubMed literature searches to identify pertinent clinical studies on the topic.
Subhas Banerjee +11 more
openaire +2 more sources
The American Society for Gastrointestinal Endoscopy (ASGE) Technology Committee provides reviews of emerging endoscopic technologies that have an impact on the practice of GI endoscopy. Evidence-based methodology is used, with MEDLINE and PubMed literature searches to identify pertinent clinical studies on the topic.
Subhas Banerjee +11 more
openaire +2 more sources
Current Opinion in Gastroenterology, 2010
The continued application of innovative imaging systems to endoscopic procedures has vastly improved the detection of indiscriminant tissue anomalies. This article describes the fundamental principles of these technologies and reviews the advances of each over the past 18 months, considering their utility in the diagnosis and surveillance of various ...
Stuart K, Amateau, Marcia I, Canto
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The continued application of innovative imaging systems to endoscopic procedures has vastly improved the detection of indiscriminant tissue anomalies. This article describes the fundamental principles of these technologies and reviews the advances of each over the past 18 months, considering their utility in the diagnosis and surveillance of various ...
Stuart K, Amateau, Marcia I, Canto
openaire +2 more sources
Enhancing the Image of Nursing
JONA: The Journal of Nursing Administration, 1989A Task Force from a Midwestern teaching hospital developed a comprehensive strategy to enhance the image of nursing in both the hospital and the community. Nursing administrators will find the Task Force's process and outcomes useful in addressing the image of nursing in their own institutions.
R T, Porter, M J, Porter, M S, Lower
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Image Enhancement Guided Object Detection in Visually Degraded Scenes
IEEE Transactions on Neural Networks and Learning Systems, 2023Object detection accuracy degrades seriously in visually degraded scenes. A natural solution is to first enhance the degraded image and then perform object detection.
Hongmin Liu +4 more
semanticscholar +1 more source
2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2021
Image processing is done using machine learning algorithms and tools like OpenCV (short for Open Computer Vision). This research paper shows an improved and convenient approach towards processing of images. Images that are highly distorted by any means or noise are too common in todays' era.
null Atul, null Pardeep, Manjit Kaur
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Image processing is done using machine learning algorithms and tools like OpenCV (short for Open Computer Vision). This research paper shows an improved and convenient approach towards processing of images. Images that are highly distorted by any means or noise are too common in todays' era.
null Atul, null Pardeep, Manjit Kaur
openaire +1 more source
2020
This chapter describes a novel method to enhance degraded nighttime images by dehazing and color correction method. In the first part of this chapter, the authors focus on filtering process for low illumination images. Secondly, they propose an efficient dehazing model for removing haziness Thirdly, a color correction method proposed for color ...
Rasmita Lenka +3 more
openaire +2 more sources
This chapter describes a novel method to enhance degraded nighttime images by dehazing and color correction method. In the first part of this chapter, the authors focus on filtering process for low illumination images. Secondly, they propose an efficient dehazing model for removing haziness Thirdly, a color correction method proposed for color ...
Rasmita Lenka +3 more
openaire +2 more sources