Dark light image processing method and terminal equipment based on convnets

An image processing and image processing device technology, applied in the field of image processing, can solve the problems of high power consumption and long computing time, and achieve the effect of reducing data volume, reducing power consumption, and improving imaging speed

Active Publication Date: 2021-07-27
TCL CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of this, the embodiment of the present invention provides a ConvNets-based dark-light image processing method and terminal equipment to solve the problems of high power consumption and long operation time of the current end-to-end image processing method based on deep learning

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  • Dark light image processing method and terminal equipment based on convnets
  • Dark light image processing method and terminal equipment based on convnets
  • Dark light image processing method and terminal equipment based on convnets

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Embodiment Construction

[0028] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0029] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0030] figure 1 The implementation flowchart of the ConvNets-based dark-light image processing method provided by the embodiment of the present invention is described in detail as follows:

[0031] In S101, the image raw data is preprocessed.

[0032] In this embodim...

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Abstract

The invention relates to the technical field of image processing, and provides a ConvNets-based dark-light image processing method and terminal equipment. The method includes: preprocessing the original image data; inputting the preprocessed original data into a convolutional neural network model for feature enhancement; performing channel rearrangement processing on the output data of the convolutional network model to generate the The image corresponding to the above raw data. The invention can reduce the amount of data processed by the convolutional neural network model, reduce power consumption and increase the imaging speed under the premise of ensuring the imaging definition.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a ConvNets-based dark-light image processing method and terminal equipment. Background technique [0002] Under low-light conditions, fast and clear imaging based on a single monocular image is a very challenging task. Commonly used solutions include physical solutions and image processing solutions. Among them, the physical solutions include opening the aperture, increasing the exposure time, using high sensitivity, turning on the flash, etc.; and the image processing methods include traditional multi-step methods, multi-frame-based methods and end-to-end deep learning methods. However, these current methods have their own shortcomings. For example, increasing the exposure time will cause blurring due to jitter; the traditional multi-step method is cumbersome and the effect is poor; the multi-frame-based method has matching difficulties in dark light conditions; Altho...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/243
CPCH04N23/76
Inventor 廖秋萍
Owner TCL CORPORATION
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