Image noise reduction device and method

An image and sample image technology, applied in the image field, can solve the problems of poor denoising effect, image edge loss, and large amount of calculation.

Active Publication Date: 2016-04-20
NUBIA TECHNOLOGY CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The main purpose of the present invention is to propose an image denoising device and method, aiming to solve the technical problems of large amount of calculation, poor denoising effect, and easy loss of image edge details in the process of image denoising in the prior art

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  • Image noise reduction device and method
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Embodiment Construction

[0060] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0061] A mobile terminal implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, use of suffixes such as 'module', 'part' or 'unit' for denoting elements is only for facilitating description of the present invention and has no specific meaning by itself. Therefore, "module" and "component" may be mixedly used.

[0062] Mobile terminals may be implemented in various forms. For example, terminals described in the present invention may include devices such as mobile phones, smart phones, notebook computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), navigation devices, etc. mobile terminals and fixed terminals such as digital TVs, desktop c...

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Abstract

The invention discloses an image noise reduction device and method, and the method comprises the steps: obtaining a plurality of continuous frame images photographed by a terminal, enabling one of the frame images to serve as a sample image, and enabling the other frame images to serve as to-be-compared images; respectively obtaining the brightness values of R, G and B components of all pixels of the sample image, and the brightness values of R, G and B components of all pixels of the to-be-compared images; and obtaining the image after noise reduction according to the mean value of the brightness values of R components of all pixels of the sample image and the to-be-compared images, the mean value of the brightness values of G components of all pixels of the sample image and the to-be-compared images and the mean value of the brightness values of B components of all pixels of the sample image and the to-be-compared images if the difference between the brightness value of the R components of all pixels of the sample image and the to-be-compared images, the difference between the brightness value of the G components of all pixels of the sample image and the to-be-compared images and the difference between the brightness value of the B components of all pixels of the sample image and the to-be-compared images are within a first preset range. The method and device solve problems of large calculation burden and poor effect of noise reduction in a noise reduction process of the image, and also solve a problem that the details of the edge of the image are liable to be lost.

Description

technical field [0001] The present invention relates to the image field, in particular to an image denoising device and method. Background technique [0002] With the development of science and technology, the camera function of smart phones is becoming more and more perfect. Compared with digital cameras, smart phones are small in size and easy to carry. Therefore, more and more people are more keen on using the smart phone camera function to record the beautiful moments in life. At the same time, people's requirements for the image quality captured by smartphones are getting higher and higher. However, if the brightness is not enough, the image captured by the smart phone will often contain some noise (luminance noise plus chroma noise), and the lower the brightness, the greater the noise. Due to the existence of noise, it will seriously affect the quality of the image. quality. [0003] Traditional denoising algorithms include: mean, median, Gaussian filtering, bilate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/00G06T5/002G06T2207/10016G06T2207/10024G06T2207/20201
Inventor 朱德志
Owner NUBIA TECHNOLOGY CO LTD
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