Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A picture processing method, system and terminal equipment

A picture processing and picture technology, applied in the field of image processing, can solve the problem of inability to check the quality of video data, and achieve the effect of solving poor processing effect and improving quality

Active Publication Date: 2022-08-09
TCL CORPORATION
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides an image processing method, system and terminal equipment to solve the problem that the current video quality inspection process cannot perform targeted quality inspection on each link of the video data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A picture processing method, system and terminal equipment
  • A picture processing method, system and terminal equipment
  • A picture processing method, system and terminal equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] like figure 1 As shown, this embodiment provides a picture processing method, which specifically includes:

[0042] Step S101: Acquire original image data of an imaging picture, and perform a preprocessing operation on the original image data to obtain preprocessed image data.

[0043] In a specific application, the raw image data (raw data) of the imaged image is obtained from an imaging system such as a camera, and the collected raw image data (raw data) is subjected to color channel separation processing, black level removal processing, and normalization. Preprocessing operations such as processing, upscaling, and cropping.

[0044] In specific applications, the original image data of the imaged image is equivalent to a binary stream, and the original image data is stored in a single byte sequence. When acquiring the original image data of the imaged image, it needs to be accessed according to the resolution of the original image. The source path of the imaging ima...

Embodiment 2

[0068] like Image 6 As shown, in this embodiment, step S101 in Embodiment 1 specifically includes:

[0069] Step S201: Extract the image data of each color channel from the original image data according to the color sequence.

[0070] In a specific application, the original image data is first separated by color channels, and the image data of each color channel is extracted according to the color sequence of the original image data, and the image data of each color channel is stored in the corresponding color channel.

[0071] Exemplarily, if the original image data includes 4 color channels, and the color order is RGBG, the original image data is divided into 4 color channels, and the 4 color channels store RGBG data respectively.

[0072] Step S202: Subtract the black level value from the image data of each color channel.

[0073] In a specific application, the black level value is subtracted from the image data of each color channel to correct the data deviation. It sh...

Embodiment 3

[0082] like Figure 7 As shown, in this embodiment, step S103 in Embodiment 1 specifically includes:

[0083] Step S301: Using a nonlinear weighted fusion model to splicing the output results.

[0084] In a specific application, the nonlinear weighted fusion model is specifically:

[0085]

[0086] like Figure 8 shown, where X 1 is the left border where the two images overlap, X 2 is the right border where the two images overlap, X is any column position where the two images overlap, W a is the fusion weight of the first image at the X position, W b is the fusion weight of the second image at the X position.

[0087] It should be noted that the above-mentioned first image refers to one output result to be spliced, and the second image refers to another output result to be spliced.

[0088] In specific applications, during the cropping operation of the preprocessing operation, each output result will have overlapping areas (overlapping pixels), and a nonlinear weight...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention is applicable to the field of computer technology, and provides a picture processing method, system and terminal device, comprising: acquiring original image data of an imaging picture, performing a preprocessing operation on the original image data to obtain the preprocessing image data, and the preprocessing operation includes: Color channel separation processing, black level removal processing, normalization processing, amplification processing and cropping processing; input the preprocessed image data into the deep neural network for forward calculation to obtain the output results of the deep neural network; splicing the output results, Generate the target image. By acquiring the original image data, inputting the preprocessed image data into the trained neural network model to obtain the output result after noise reduction, and splicing the output result to generate the target image, which can effectively denoise the image. It can improve the quality of the imaging picture and effectively solve the problem of poor processing effect on the image noise processing in the extreme dark light environment.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to an image processing method, system and terminal device. Background technique [0002] In low-light or dark-light environments, due to the low number of photons and low signal-to-noise ratio, the images generated by the imaging system will have more noise. In order to solve this problem, the quality of the imaging picture is usually improved by physical methods such as increasing the ISO, increasing the aperture, extending the exposure time, and using flash, or through image signal processing such as commonly used multi-frame synthesis processing and single-frame multi-step processing (Image Signal Processing, ISP) method to process imaging pictures to improve their quality. However, the above methods all have certain defects. For example, increasing the ISO will amplify the noise, increasing the exposure time will easily introduce debris due to jitter or object moveme...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06N3/08G06T5/00
CPCG06T3/4038G06N3/08G06T5/70
Inventor 郑加章
Owner TCL CORPORATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com