Super-resolution, color gamut expansion and inverse tone mapping combined method and device

A technology of color gamut expansion and tone mapping, applied in the field of joint super-resolution, color gamut expansion and inverse tone mapping methods and equipment, capable of solving artifacts, inability to reconstruct high-frequency information, texture details, rich colors, and subjective quality No high-level problems, to achieve the effect of reducing artifacts, good subjective and objective quality evaluation, and high subjective quality

Pending Publication Date: 2020-12-18
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0004] The traditional method only performs one-to-one mapping of pixels, and cannot reconstruct high-frequency information, texture detail...

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  • Super-resolution, color gamut expansion and inverse tone mapping combined method and device
  • Super-resolution, color gamut expansion and inverse tone mapping combined method and device
  • Super-resolution, color gamut expansion and inverse tone mapping combined method and device

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Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0030] refer to figure 1 As shown, the flow chart of the joint super-resolution, color gamut expansion and inverse tone mapping method based on the convolutional neural network of the present invention, its design idea is:

[0031] ①Read the original high-resolution, high color gamut and high dynamic range video frames, cut and down-convert to low resolution, low color gamut and standard dynamic range video frames to form a supervised data set for training and The test in ④;

[0032] ② Design a ...

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Abstract

The invention provides a super-resolution, color gamut expansion and inverse tone mapping combined method and device, and the method comprises the steps: S1, carrying out down-conversion on video frames with high resolution, high color gamut and high dynamic range into video frames with low resolution, low color gamut and standard dynamic range, and forming a training data set and a test data set;S2, designing a convolutional neural network based on local residual learning and global residual learning; S3, continuously training and optimizing the convolutional neural network by using the training data set to obtain a convolutional neural network capable of completing joint super-resolution, color gamut extension and inverse tone mapping; and S4, inputting the low-resolution, low-color-gamut and standard dynamic range video frames in the test data set into the convolutional neural network obtained after training in S3 to obtain high-resolution, high-color-gamut and high-dynamic range video frames. According to the invention, the artifact problem of the existing method is improved, and the subjective and objective quality is improved.

Description

technical field [0001] The present invention relates to a method in the technical field of image processing, in particular to a convolutional neural network-based joint super-resolution, color gamut extension, and inverse tone mapping method and device. Background technique [0002] In recent years, shooting and display technologies have developed rapidly, and a large number of consumer-grade cameras and displays with high resolution, high color gamut, and high dynamic range have appeared on the market. The Recommendation ITU-R BT.2020 standard defines the relevant parameters of ultra-high-definition television, stipulating that its resolution is 3840×2160 or 7680×4320, and the number of quantization bits is 10 bits or 12 bits. The BT.709 standard HDTV resolution is 1920×1080, and the number of coding bits is 8 bits or 10 bits. The color gamut specified by the Recommendation ITU-R BT.2020 standard is larger than that specified by the Recommendation ITU-R BT.709. The Recomm...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00G06N3/04G06N3/08
CPCG06T3/4053G06T3/4046G06T3/4007G06T5/007G06N3/08G06T2207/10016G06T2207/10024G06T2207/20081G06T2207/20084G06N3/048G06N3/045
Inventor 宋利甘文耀陈立解蓉
Owner SHANGHAI JIAO TONG UNIV
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