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From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement
Computer Vision and Pattern Recognition, 2020Under-exposure introduces a series of visual degradation, i.e. decreased visibility, intensive noise, and biased color, etc. To address these problems, we propose a novel semi-supervised learning approach for low-light image enhancement. A deep recursive
Wenhan Yang +4 more
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Cancer Biomarkers, 2009
Nanotechnology refers to the research and technical development of objects in a scale range of 1 to 100 nanometers. Particles that are nano-sized are opening new research avenues in the field of engineering and life sciences. Imaging with biocompatible nanoparticles has emerged as one of the most promising new diagnostic imaging technology fulfilling ...
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Nanotechnology refers to the research and technical development of objects in a scale range of 1 to 100 nanometers. Particles that are nano-sized are opening new research avenues in the field of engineering and life sciences. Imaging with biocompatible nanoparticles has emerged as one of the most promising new diagnostic imaging technology fulfilling ...
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Local enhancement of compressed images
Journal of Mathematical Imaging and Vision, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Björn D. Jawerth +2 more
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Adaptive Filtering For Image Enhancement
Optical Engineering, 1982In this paper, we develop an image enhancement algorithm that modifies the local luminance mean of an image and controls the local constrast as a function of the local luminance mean of the image. The algorithm first separates an image into its lows (low-pass filtered form) and highs (high-pass filtered form) components.
Tamar Peli, Jae S. Lim
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Content Aware Image Enhancement
2007We present our approach, integrating imaging and vision, for content-aware enhancement and processing of digital photographs. The overall quality of images is improved by a modular procedure automatically driven by the image class and content.
SCHETTINI, RAIMONDO +3 more
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Image enhancement and restoration
1975The aim of collecting data is to gain meaningful information about a phenomenon of interest. Unfortunately, often the phenomenon is not a direct physical observable. Instead, e.g., the data at hand may be a linear superposition of the desired quantities.
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Better Than Reference in Low-Light Image Enhancement: Conditional Re-Enhancement Network
IEEE Transactions on Image Processing, 2022Yu Zhang, Xiaoguang Di, Bin Zhang
exaly
An Underwater Image Enhancement Benchmark Dataset and Beyond
IEEE Transactions on Image Processing, 2020Chongyi Li, Chunle Guo, Wenqi Ren
exaly
Perceptual Underwater Image Enhancement With Deep Learning and Physical Priors
IEEE Transactions on Circuits and Systems for Video Technology, 2021Long Chen, Zheheng Jiang, Lei Tong
exaly