Image super-resolution method and image super-resolution equipment

A technology for super-resolution and low-resolution images, which is applied in the field of image super-resolution equipment and image super-resolution, and can solve problems such as unclear texture details of high-resolution images

Active Publication Date: 2017-05-17
XIAN UNIVIEW INFORMATION TECH CO LTD
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Problems solved by technology

[0007] The invention provides a super-resolution image generation method to better retain the detailed information of the image to be processed...

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  • Image super-resolution method and image super-resolution equipment
  • Image super-resolution method and image super-resolution equipment
  • Image super-resolution method and image super-resolution equipment

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Embodiment Construction

[0047] As mentioned in the background, the single-frame image super-resolution based on the deep convolutional neural network has made great progress in the single-frame image super-resolution technology. However, there are still problems with the restoration of texture details when the upsampling factor is relatively large (for example, 4 times upsampling), resulting in insufficient clarity of details.

[0048]In view of this, this application proposes a super-resolution image generation method, which proposes an adversarial network framework for single-frame image super-resolution, which includes two deep neural networks, one is a generation network and the other is a discriminative network , the two networks are trained simultaneously to compete with each other. The purpose of the generation network is to generate high-resolution images from low-resolution images, and the generated high-resolution images are difficult to distinguish from real images; the purpose of the disc...

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Abstract

The invention discloses a super-resolution image generation method. The super-resolution image generation method includes inputting a real image sample into a generation network so as to output a super-resolution image sample after the generation network and a distinguishing network are preset, acquiring distinguishing probabilities outputted by the distinguishing network after the real image sample and the super-resolution image sample are outputted, determining generation network loss functions and distinguishing network loss functions according to the real image sample, the super-resolution image sample and the distinguishing probabilities, and adjusting configuration parameters of the generation network and the distinguishing network according to the generation network loss functions and the distinguishing network loss functions; receiving a low-resolution image to be processed after adjustment is completed, generating a super-resolution image of the low-resolution image according to the generation network, and subjecting the super-resolution image to visualized processing. By the super-resolution image generation method, image super-resolution effect and realness of the super-resolution image are both improved remarkably.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to an image super-resolution method. The invention also relates to an image super-resolution device. Background technique [0002] Image super-resolution reconstruction technology uses a set of low-quality, low-resolution images (or motion sequences) to generate a single high-quality, high-resolution image. The application field of image super-resolution reconstruction is extremely broad, and it has important application prospects in military, medical, public security, computer vision, etc. In the field of computer vision, image super-resolution reconstruction technology may enable the transformation of images from the detection level to the recognition level, or further to the fine resolution level. [0003] Based on the image super-resolution reconstruction technology that can improve image recognition ability and recognition accuracy, the prior art proposes a single-fram...

Claims

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Application Information

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IPC IPC(8): G06T3/40
CPCG06T3/4053
Inventor 吕春旭
Owner XIAN UNIVIEW INFORMATION TECH CO LTD
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