Low-light image enhancement: A comparative review and prospects
Low-light image enhancement is a key prerequisite for diverse applications in the field of
image processing and computer vision. Various approaches for this task have been …
image processing and computer vision. Various approaches for this task have been …
Learning a no-reference quality assessment model of enhanced images with big data
In this paper, we investigate into the problem of image quality assessment (IQA) and
enhancement via machine learning. This issue has long attracted a wide range of attention …
enhancement via machine learning. This issue has long attracted a wide range of attention …
An experimental-based review of image enhancement and image restoration methods for underwater imaging
Underwater images play a key role in ocean exploration but often suffer from severe quality
degradation due to light absorption and scattering in water medium. Although major …
degradation due to light absorption and scattering in water medium. Although major …
No-reference quality metric of contrast-distorted images based on information maximization
The general purpose of seeing a picture is to attain information as much as possible. With it,
we in this paper devise a new no-reference/blind metric for image quality assessment (IQA) …
we in this paper devise a new no-reference/blind metric for image quality assessment (IQA) …
Attention-guided neural networks for full-reference and no-reference audio-visual quality assessment
With the popularity of mobile Internet, audio and video (A/V) have become the main way for
people to entertain and socialize daily. However, in order to reduce the cost of media …
people to entertain and socialize daily. However, in order to reduce the cost of media …
The analysis of image contrast: From quality assessment to automatic enhancement
Proper contrast change can improve the perceptual quality of most images, but it has largely
been overlooked in the current research of image quality assessment (IQA). To fill this void …
been overlooked in the current research of image quality assessment (IQA). To fill this void …
Low-light image enhancement using variational optimization-based retinex model
This paper presents an optimization-based low-light image enhancement method using
spatially adaptive l 2-norm based Retinex model. The proposed method adaptively enforces …
spatially adaptive l 2-norm based Retinex model. The proposed method adaptively enforces …
No-reference image sharpness assessment in autoregressive parameter space
In this paper, we propose a new no-reference (NR)/blind sharpness metric in the
autoregressive (AR) parameter space. Our model is established via the analysis of AR …
autoregressive (AR) parameter space. Our model is established via the analysis of AR …
Low-light image enhancement based on virtual exposure
Under poor illumination, the image information captured by a camera is partially lost, which
seriously affects the visual perception of the human. Inspired by the idea that the fusion of …
seriously affects the visual perception of the human. Inspired by the idea that the fusion of …
Preynet: Preying on camouflaged objects
Species often adopt various camouflage strategies to be seamlessly blended into the
surroundings for self-protection. To figure out the concealment, predators have evolved …
surroundings for self-protection. To figure out the concealment, predators have evolved …