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An Underwater Image Enhancement Algorithm Combining Uninterested Regions

A region of interest, underwater image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as rigorous theoretical selection of underwater background, and achieve the effect of improving the effect

Active Publication Date: 2022-07-29
NANJING UNIV OF INFORMATION SCI & TECH
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AI Technical Summary

Problems solved by technology

[0006] The present invention proposes an underwater image enhancement algorithm combined with areas of no interest to restore the underwater image. This method solves the problem that the original paper did not select the underwater background based on rigorous theory in solving the underwater image enhancement problem.

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  • An Underwater Image Enhancement Algorithm Combining Uninterested Regions
  • An Underwater Image Enhancement Algorithm Combining Uninterested Regions
  • An Underwater Image Enhancement Algorithm Combining Uninterested Regions

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Embodiment Construction

[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0041] see Figure 1-2 , the present invention is based on the following research results: that is, because in underwater images, most of the areas of interest to the human eye are not water bodies, but mainly fish, artificial objects, reefs and other objects, so it can be considered in the reverse direction. The water body is extracted separately, and the average value of each channel is calculated as the background color of the wate...

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Abstract

The present invention provides an underwater image enhancement algorithm combined with uninteresting regions. Aiming at the limitations of the classical DCP algorithm in underwater image enhancement, the uninteresting regions are extracted by using the human eye region of interest theory, and then based on the , extract the pixel average value of each channel as the background color of the water body; then use the classic DCP algorithm to restore the result, the invention solves the problem that the original dark channel theory does not select the underwater background based on the rigorous theory in solving the problem of underwater image enhancement. , which can effectively select the background brightness of the water body when the brightness of the non-background is higher than the background part, and improve the effect of image enhancement.

Description

technical field [0001] The invention belongs to the technical field of underwater image enhancement algorithms, and in particular relates to an underwater image enhancement algorithm combined with uninteresting regions. Background technique [0002] With the development of the ocean, the research of underwater robot technology has become a hot spot and trend in today's era. At present, underwater robots are widely used in underwater pipeline inspection, hull maintenance, underwater entertainment, underwater archaeology and scientific research and other fields. Some researchers have conducted research on observational underwater robots. The main environmental perception method of underwater robots is images, but the water body will produce scattering and absorption effects on light, resulting in serious weakening of underwater images, which seriously affects the smooth development of underwater robot tasks. The scattering effect of the water body can cause the contrast of t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/62G06N3/02
CPCG06T7/62G06N3/02G06T5/94
Inventor 胡凯刘佳刘卿卿刘云平杨立帆
Owner NANJING UNIV OF INFORMATION SCI & TECH
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