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Image quality adjustment method and image processing intelligent platform

An image quality and quality adjustment technology, applied in the field of image processing, can solve problems such as error-prone and cumbersome operation processes, and achieve the effect of reducing manual participation in joints and improving the efficiency of image quality adjustment

Inactive Publication Date: 2017-11-10
GUANGDONG VIMICRO
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The disadvantages of the above-mentioned existing image quality adjustment methods are: personnel participation is required, and different parameter configurations need to be manually performed according to different image shooting scenes. The operation process is cumbersome and error-prone

Method used

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Embodiment 1

[0036] In the embodiment of the present invention, the image quality is adjusted through machine learning, and the image quality is reciprocally fed back to achieve the optimal configuration of the image quality. Machine learning can run on the device side or on the server side. The server will save the front-end data, and the server will share the learning parameter results among the connected devices. Based on the continuous reciprocating interaction between the device and the server based on the learning algorithm, the optimal configuration is achieved.

[0037] figure 1 It is a flowchart of an image quality adjustment method according to Embodiment 1 of the present invention. The image quality adjustment method is applied to an image processing intelligent platform. The image processing intelligent platform includes a device end and a server end, and the device end and the server end communicate according to a predetermined communication interface, and a CPU, a memory, a...

Embodiment 2

[0046] This embodiment provides an intelligent platform for image processing, and its specific implementation structure is as follows: figure 2 As shown, it may specifically include a device end 21 and a server end 22;

[0047] The device end 21 is used to communicate with the server end 22 according to a predetermined communication interface, and transmit the image data to be processed to the server end;

[0048] The server end 22 is configured to use a machine learning algorithm to train an image data quality adjuster based on the image data training set, and use the image data quality adjuster to perform quality adjustment processing on the image data to be processed.

[0049] Preferably, the server 22 includes a CPU 221 , a training data collection unit 222 , an image classification unit 223 , a learning and training unit 224 , a memory 225 and an image quality adjustment unit 226 . CPU221 is respectively connected with training data collection unit 222, image classifica...

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Abstract

The invention provides an image quality adjustment method and an image processing intelligent platform. The image quality adjustment method comprises the steps of training a quality adjustor of image data based on image data by utilizing a machine learning algorithm; and carrying out quality adjustment processing for the to-be-processed image data by utilizing the quality adjustor of the image data. The image processing intelligent platform comprises a device end and a server end; the device end and the server end communicate with each other according to a given communication interface; the server end is provided with a CPU, a memory, a training data collection unit, an image classification unit, a learning training unit and an image quality adjustment unit. According to the image quality adjustment method and the image processing intelligent platform, image data in different shooting scenes can be subjected to quality adjustment automatically through the intelligent platform, the artificial participation links are reduced, and the image quality adjustment efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image quality adjustment method and an image processing intelligent platform. Background technique [0002] The main function of ISP (Image Signal Processor, image processing) is to post-process the signal output by the front-end image sensor. The main functions include linear correction, noise removal, dead point removal, interpolation, white balance, automatic exposure control, etc., which depend on ISP can better restore scene details under different optical conditions. [0003] Image quality adjustment is a link in ISP. At present, the existing image quality adjustment method is manual configuration. The image engineer adjusts the image parameters one by one based on the image shooting scene, and adjusts the image quality of the image according to the adjusted image parameters. The above image shooting scenarios include: weather, time , exposure conditions and o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46H04N5/232
CPCG06V10/40H04N23/60G06F18/24G06F18/214
Inventor 孙丰强
Owner GUANGDONG VIMICRO
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