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Haze image deblurring method, haze image deblurring system and image processing device

An image processing and clearing technology, applied in the field of image processing, can solve problems such as not applicable to real-time systems, loss of image background and details, block effect, etc.

Inactive Publication Date: 2016-08-31
YULONG COMPUTER TELECOMM SCI (SHENZHEN) CO LTD
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  • Application Information

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Problems solved by technology

However, traditional methods of increasing contrast can cause image background and details to be lost, and image restoration methods based on physical models often suffer from block effects, which are not suitable for real-time systems

Method used

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  • Haze image deblurring method, haze image deblurring system and image processing device
  • Haze image deblurring method, haze image deblurring system and image processing device
  • Haze image deblurring method, haze image deblurring system and image processing device

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specific Embodiment approach

[0072] (1) Step1: The original image R (the haze image to be cleared) is divided into channels to generate R-channel images, G-channel images and B-channel images.

[0073] (2) Step2: Carry out overall calculation on the three single-channel images in step 1, and assign the minimum value of the corresponding position of each image to a new image to generate dark image A, including:

[0074] Image A=Min(f(x, y)); x belongs to the [0, width] interval, y belongs to the [0, height] interval, f(x, y) is the (x, y) coordinate point on the sub-channel image The grayscale value, width: A image width, height: A image height.

[0075] (3) Step3: Carry out overall calculation on the three single-channel images in step1, and assign the maximum value of the corresponding position of each image to a new image (bright image B), including:

[0076] Image B=Max(f(x, y)); x belongs to the [0, width] interval, y belongs to the [0, height] interval, f(x, y) is the (x, y) coordinate point on the ...

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Abstract

The invention provides a haze image deblurring method, a haze image deblurring system and an image processing device. The method comprises steps that sub-channel processing on a to-be-deblurred haze image is carried out to acquire an R-channel image, a G-channel image and a B-channel image; a dark graph is generated according to a minimum gray value of common pixel points of the R-channel image, the G-channel image and the B-channel image, and a bright graph is generated according to a maximum gray value of the common pixel points of the R-channel image, the G-channel image and the B-channel image; contrast enhancement processing on the dark graph and the bright graph is carried out; the dark graph and the bright graph after contrast enhancement processing are merged to form a first reference image; smoothing processing on the to-be-deblurred haze image is carried out to generate a second reference image; the first reference image and the second reference image are merged and processed to accomplish deblurring processing on the haze image. Through the method, image deblurring effects are improved, image background and details are kept, and user experience is further improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method for clearing haze images, a system for clearing haze images and an image processing device. Background technique [0002] In related technologies, fog and haze seriously affect people's quality of life, especially in the process of driving. When the navigation device collects road condition images and prompts the driver and user, the fog and haze seriously affects the image quality. Therefore, the low-definition fog and haze Images also seriously affect the driving safety of drivers and users. [0003] In related technologies, there are roughly two methods for sharpening haze images: one is an enhancement method for increasing contrast, and the other is an image restoration method based on a physical model. However, the traditional method of increasing contrast will cause loss of image background and details, and image restoration methods based on physi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/50
CPCG06T5/50G06T2207/20221G06T5/73
Inventor 廖声洋
Owner YULONG COMPUTER TELECOMM SCI (SHENZHEN) CO LTD
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