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In the field of undersea research, underwater vehicles usually carry camera systems for recording. The captured image or video often has two undesired characteristics: color distortion and low visibility. This is because that the light is exponentially attenuated while penetrating through water. Furthermore, the quality of attenuation is associated with the wavelength of spectrum. This paper simplifies...
Clear underwater vision is crucial to many research and realistic applications in ocean engineering, ocean biology, and ocean science. However, owing to particular propagation properties of light beneath water, underwater images usually have poor quality including low contrast, blurring, darkness, and color diminishing. In this article, a new underwater image restoration algorithm is proposed that...
When light is transmitted in water from a subject to an observer, it is scattered and absorbed by the unstable environment such as suspended particles and turbid water. Due to these phenomena, underwater images usually have poor quality including low contrast, blurring, darkness, and color diminishing. In this paper, we propose a new underwater image restoration algorithm that consists of two major...
It is well known that the noise in magnetic resonance (MR) magnitude images obeys a Rician distribution. Denoising of MR images is of importance for clinical diagnosis and computerized analysis, such as tissue classification, segmentation, and registration. We propose a post-acquisition denoising algorithm in an attempt to automatically remove the random fluctuations and bias introduced by Rician...
Bilateral filtering has been a popular denoising technique that smooths images while preserving edges by means of a nonlinear combination of adjacent pixel values. We propose an entropy-based trilateral (EnTri) filter that extends the classical bilateral filter for noise removal in digital images. A new median-metric weighting function is incorporated into the geometric and radiometric components,...
Bilateral filtering is a popular denoising technique that smooths images while preserving edges by means of a nonlinear combination of adjacent pixel values. We propose a double bilateral filter that extends the classical bilateral filtering for image noise removal. A new median-metric weighting function is introduced by incorporating a median filter into a second bilateral filter. Balancing between...
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