A noise reduction method and device for a full-size photographic image

A full-scale, image technology, applied in the field of image processing, can solve the problems of blurred images, excessive color, loss of image details, etc., to achieve the effect of improving image clarity and natural vision

Active Publication Date: 2022-04-29
GUANGDONG XIAOTIANCAI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the main denoising method is to use some denoising templates to calculate the color value in the area block of the image, and then replace the original color value in the area block according to the operation result, so that the noise can be lightened or eliminated, and the color can be changed smoothly. It is relatively uniform, but the color value replacement in the area block will cause some non-edge points to also be replaced by color value, thus losing some image details and destroying the characteristics of the image, while for the edge points, it will produce color Excessive phenomenon, making the overall image after noise reduction look a bit blurred

Method used

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  • A noise reduction method and device for a full-size photographic image
  • A noise reduction method and device for a full-size photographic image
  • A noise reduction method and device for a full-size photographic image

Examples

Experimental program
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Embodiment 1

[0062] see figure 1 , figure 1 It is a schematic flowchart of a noise reduction method for a full-size photographic image disclosed in an embodiment of the present invention. Such as figure 1 As shown, the noise reduction method of the full-size photographic image may include the following steps:

[0063] 101. When the photographing terminal receives the photographing instruction input by the user, it saves the current preview image captured by the photographing module.

[0064] It should be noted that the photographing command is specifically a triggering shutter command, and the way the user inputs the triggering shutter command may be that the user clicks on the electronic screen of the photographing terminal, or the user presses a button on a Bluetooth device that establishes a Bluetooth connection with the photographing terminal. For the operation input, which input method is used to input the camera instruction is not specifically limited in this embodiment of the pre...

Embodiment 2

[0087] see figure 2 , figure 2 It is a schematic flowchart of another method for noise reduction of a full-size photographed image disclosed in an embodiment of the present invention. Such as figure 2 As shown, the noise reduction method of the full-size photographic image may include the following steps:

[0088] 201-204. For the description of steps 201 to 204, please refer to the detailed description of steps 101 to 104 in Embodiment 1, and the present invention will not repeat them here.

[0089] 205. The camera terminal judges whether each pixel in the full-size image is a jump point. If yes, execute step 206; otherwise, end this process.

[0090] As an optional implementation manner, step 205 may include the following steps S1-S4:

[0091] S1. The camera terminal uses the Sobel operator to perform planar convolution calculation on the full-size image, and obtains the approximate brightness difference of each pixel in the full-size image in the horizontal direction...

Embodiment 3

[0108] see image 3 , image 3 It is a structural schematic diagram of a noise reduction device for a full-scale photographic image disclosed in an embodiment of the present invention. Such as image 3 As shown, the noise reduction device of the full-size photo image can include:

[0109] The saving unit 301 is configured to save the current preview image captured by the shooting module when receiving a photographing instruction input by the user.

[0110] The capture unit 302 is configured to control the camera module to switch to the full-size camera mode to capture a full-size image, and the pixel value of the full-size image is higher than the pixel value of the current preview image.

[0111] The extraction unit 303 is configured to extract color transition information in the current preview image, and the color transition information includes transition information of any one or more transition types in hue, brightness and saturation.

[0112] The indexing unit 304 i...

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Abstract

The embodiment of the present invention relates to the technical field of image processing, and discloses a noise reduction method and device for a full-scale photographed image. The method includes: saving the current preview image captured by the camera module when receiving a camera instruction input by the user, and controlling the camera module to switch to the full-size camera mode to capture a full-size image, and then extracting the color in the current preview image Jump information, according to the image position and jump type of the color jump information, form an index, and then query whether the jump point in the full-size image matches the color jump information according to the index, if not, check the jump point Noise removal. By implementing the embodiment of the present invention, the definition of the image after the noise reduction processing can be improved, so that the image after the noise reduction processing is visually more natural.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a noise reduction method and device for a full-size photographed image. Background technique [0002] In the process of taking pictures, due to the influence of hardware, environment and man-made, there will be some irregularly distributed noise points with sudden changes in color or brightness on the shooting screen. These noise points are what we usually call noise. Noise affects the details of the image to a large extent, and ultimately affects the quality of the captured image. Therefore, it is necessary to denoise the photographed image, that is, to filter out the noise from all the pixels of the image, and then replace the original color or brightness of the noise with a more realistic color and brightness, thereby improving the image quality. [0003] At present, the main denoising method is to use some denoising templates to calculate the color value in the area...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/217
CPCH04N23/81
Inventor 钟旭
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
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