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Image sharpening method and device thereof

A technology of nucleation and pixel point, applied in the field of image sharpening method and sharpening device using the sharpening method, can solve the problems of incapability of adaptive adjustment, inability to adjust, and reduce the visual effect of the image, so as to achieve a more natural visual effect Effect

Active Publication Date: 2017-09-22
ALLWINNER TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, the filter gain in LTI processing is fixed and cannot be adjusted according to the actual content of the image, and multiple sub-filters will be used in Peaking processing, and the gain of the sub-filters is also fixed and cannot be adjusted adaptively
Since the processing method is single, and different areas of the image require different processing methods, using a fixed filter makes the sharpening result unnatural
In addition, the filter frequency ranges in LTI and Peaking overlap, and the image data in the overlapping range will be sharpened multiple times, which may produce an edge gain superposition effect, thereby reducing the visual effect of the image

Method used

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  • Image sharpening method and device thereof
  • Image sharpening method and device thereof

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Embodiment Construction

[0024] Example of sharpening method:

[0025] refer to figure 1 and figure 2 , figure 1 is a flowchart of an embodiment of the sharpening method, figure 2 Is the schematic diagram of image sharpening processing. When image sharpening is performed on the data X of the pixel to be processed, the sharpening method includes sequentially performing transformation steps, filtering steps, and kernelization and denoising steps on the image data, that is, the data X passes through the conversion module 11, the filter module 12, and the kernelization step in sequence. The denoising module 13 processes, and then obtains the sharpened image.

[0026] The conversion step includes step S11 and step S12. When performing the conversion step, step S11 is first performed, and the data X is first input into the conversion module 11, and the conversion module 11 is based on the pixel to be processed, the first pixel on the left of the pixel to be processed, and the first pixel on the right...

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Abstract

The invention provides an image sharpening method and device. The sharpening method comprises a converting step, a filtering step and a coring and denoising step, all of which are carried out in sequence. The method comprises the steps that neighborhood data are formed according to to-be-processed pixel points, a first pixel point on the left, a first pixel point on the right, a second pixel point on the left and a second pixel point on the right, after frequency domain converting is carried out according to the neighborhood data, calculation is carried out to obtain coefficient vectors, the sub-filtering weighting coefficient is calculated according to the coefficient vectors, data obtained after filtering are obtained according to processing of the neighborhood data, the sub-filtering weighting coefficient and a sub-filtering pulse response function, a sharpening weighting value is worked out according to the neighborhood data, the sub-filtering weighting coefficient and a weight adjusting parameter, denoising is carried out on the data obtained after filtering according to a threshold value parameter, sharpening is carried out on the denoised data, and the denoised data are processed to form sharpened data. Sharpening processing is carried out in a self-adaptation adjusting mode according to the image content, and accordingly the purpose that the sharpened visual effect is more natural is achieved.

Description

technical field [0001] The invention relates to the field of digital video processing, in particular to an image sharpening method and a sharpening device using the sharpening method. Background technique [0002] With the widespread use of computers and the emergence of digital television, people have higher and higher requirements for the definition of video images. When standard-definition video is enlarged to high-definition video, the details of the edge of the video image will be lost, making The overall image appears blurred. Image clarity, sharpness is also lost due to encoding and various processing such as noise reduction, de-ringing, de-blocking, etc. At this time, edge and detail enhancement is usually performed to restore lost high-frequency information or increase high-frequency information to improve image resolution and perceived clarity. This post-processing technique is called sharpening. [0003] Existing implementation solutions for sharpening usually n...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/202H04N5/21
Inventor 张学敬张建辉赵勃
Owner ALLWINNER TECH CO LTD
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