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Boundary coefficient calculation method of image and image noise removal method

A technology of boundary coefficient and image noise, applied in image communication, picture signal generator, components of color TV, etc., can solve the problem of no noise processing, large system resources, time, consumption, etc., to achieve the effect of eliminating noise

Active Publication Date: 2011-02-09
慧荣科技(深圳)有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, there is no special processing for the image noise in the known technology, or although there is de-noising processing, it must consume considerable system resources and time

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  • Boundary coefficient calculation method of image and image noise removal method
  • Boundary coefficient calculation method of image and image noise removal method
  • Boundary coefficient calculation method of image and image noise removal method

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Embodiment Construction

[0025] Certain terms are used throughout the description and claims to refer to particular components. It should be understood by those skilled in the art that hardware manufacturers may refer to the same component by different terms. The specification and claims do not use the difference in name as a way to distinguish components, but use the difference in function of components as a criterion for distinguishing. "Includes" mentioned throughout the specification and claims is an open term, so it should be interpreted as "including but not limited to". Otherwise, the term "coupled" includes any direct and indirect means of electrical connection. Therefore, if it is described that a first device is coupled to a second device, it means that the first device may be directly electrically connected to the second device, or indirectly electrically connected to the second device through other devices or connection means.

[0026] image 3 and Figure 4 Partial flow charts of an i...

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Abstract

The invention discloses a boundary coefficient calculation method of an image, wherein the image comprises a plurality of pixels arrayed in the form of Bayer Pattern; the method comprises the steps of: (a) calculating an average gray scale of a plurality of particular types of pixels within a particular scope; (b) calculating a gray scale difference between the particular types of pixels within the particular scope and the average gray scale in order to generate a plurality of gray scale difference values; (c) locating a particular pixel having a maximal gray scale difference value according to the gray scale difference values; and (e) calculating a proportional value of the average gray scale and the maximal gray scale difference value and using the proportional value as the boundary coefficient.

Description

technical field [0001] The invention relates to a calculation method for calculating boundary coefficients in an image and an image noise removal method using the method, in particular to a calculation method for calculating boundary coefficients in an image and an image noise removal method using different weighting processes according to the boundary coefficients. Background technique [0002] figure 1 A block diagram of an image processing system 100 of known technology is shown. Such as figure 1 As shown, the image processing system 100 includes an image sensor 101 (such as a charge-coupled device, Charge-coupled Device, CCD), an analog amplifier 103 , an analog-to-digital converter 105 and an image processing module 107 . The image sensor 101 is used to sense the incident light from the object (ie, an analog image signal AIS), and convert the incident light quantity into a charge quantity (ie, a sampled image signal SIS). The analog amplifier 103 then amplifies the s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N9/04H04N5/217
Inventor 张郡文
Owner 慧荣科技(深圳)有限公司