Noise reduction and sharpening combined processing method and device

A joint processing and noise reduction processing technology, applied in the field of image processing, can solve the problems of amplifying noise, being easily disturbed by noise, and the intensity of sharpening cannot be turned on too strongly, so as to reduce costs, improve image quality, and enhance images The effect of noise reduction or sharpening processing ability

Pending Publication Date: 2022-04-08
上海宇思微电子有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a joint processing method and device for noise reduction and sharpening, aiming to solve the problem that in scenes with relatively strong noise, sharpening is easily disturbed

Method used

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  • Noise reduction and sharpening combined processing method and device
  • Noise reduction and sharpening combined processing method and device
  • Noise reduction and sharpening combined processing method and device

Examples

Experimental program
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Embodiment 1

[0034] see figure 1 , a block diagram of a noise reduction and sharpening joint processing method.

[0035] A noise reduction and sharpening joint processing method, comprising:

[0036] S1, image information import, there are three sources of image information import in step S1, one is external input, one is from step S4 noise reduction processing, and one is from step S5 sharpening processing;

[0037] S2, image information processing, the noise reduction and sharpening of the image are performed in a dynamically variable processing window size, and the multiplication and addition operation or addition operation is used as much as possible to complete the required processing, and the edge information calculated in the step S2 is obtained by reducing Noise processing and sharpening processing are shared, and the specific methods of image noise reduction and sharpening are as follows:

[0038] For noise reduction, each pixel of the image is processed sequentially from left t...

Embodiment 2

[0056] see Figure 2-3 , figure 2 It is a structural principle block diagram of a noise reduction and sharpening joint processing device, image 3 It is a principle frame of an embodiment of a joint processing device for noise reduction and sharpening Figure 1 .

[0057] The present invention also includes a joint processing device for noise reduction and sharpening, including:

[0058] The line sharing module LINE SHARE, the inside of the line sharing module LINE SHARE is an adjustable and configured line buffer, and the line sharing module LINE SHARE is connected to the noise reduction module NR, the sharpening module SHP, and the edge and direction calculation module EDGE for Select the appropriate source according to the configuration. There is a certain number of line buffers in the line sharing module LINE SHARE, such as 13 lines of buffers; take 13 lines of line buffers as an example, because N line buffers actually only need N-1 lines of Line storage. Therefore, ...

Embodiment 3

[0069] see figure 2 and 5 , figure 2 It is a structural principle block diagram of a noise reduction and sharpening joint processing device, Figure 5 It is a principle frame of an embodiment of a joint processing device for noise reduction and sharpening Figure three .

[0070] To sum up, when only sharpening is required, configure the line sharing module LINE SHARE as a 13-line Line buffer, and configure the multiplication and accumulation sharing module MAC SHARE as 3x1 / 3x3 to 13x1 / 13x13 mode; the data is sent from the outside Enter the line sharing module LINE SHARE, convert it into 13 lines and send it to the edge and direction calculation module EDGE and the sharpening module SHP at the same time; the edge and direction calculation module EDGE obtains the edge information and sends it to the sharpening module SHP; the sharpening module SHP calls After the multiplication and accumulation resources in the multiplication and accumulation sharing module MAC SHARE are ...

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Abstract

The invention is suitable for the technical field of image noise reduction, and provides a noise reduction and sharpening combined processing method and device, and the method comprises the steps: importing image information, processing the image information, carrying out the noise reduction and sharpening of an image in a mode that the size of a processing window is dynamically variable, and completing the needed processing through the multiplication and addition operation as much as possible; data processing: extracting the same or similar operations of sharpening and noise reduction in the step 2, uniformly processing the operations, and carrying out resource sharing and dynamic allocation; noise reduction processing: performing noise reduction processing according to the edge information calculated in the above step, and outputting processed data or performing sharpening processing on the processed data; and S5, carrying out sharpening treatment. By unifying the processing methods of image noise reduction and image sharpening, the same or similar operators are used for processing, and the processing resources can be dynamically allocated on the implementation device, so that the image noise reduction or sharpening processing capability of a special scene can be greatly enhanced under the condition of reducing the cost.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a noise reduction and sharpening joint processing method and device. Background technique [0002] Image noise reduction and sharpening are two of the most commonly used techniques in image processing. It is common practice to split the processing into two separate modules. [0003] The prior art discloses an image noise reduction method (CN110097511B). This invention discloses an image noise reduction method, which includes the following steps: S01: Select A pieces of data centered on the data block where the noise reduction point is located in the image to be denoised block; S02: Get the texture strength value of the noise reduction point; S03: Determine the noise reduction parameter h of the noise reduction point according to the above texture strength value; S04: Determine the noise reduction weight W( k); k represents the kth surrounding data block; S0...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 周旭杨雪
Owner 上海宇思微电子有限公司
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