Picture high-definition reconstruction method, device, mobile terminal and storage medium
A super-resolution reconstruction and low-resolution technology, applied in the field of image super-resolution reconstruction methods, devices, mobile terminals and storage media, can solve problems such as not obvious, long training time, large sample set, etc.
Inactive Publication Date: 2018-03-06
SHENZHEN INST OF ADVANCED TECH
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[0004] The main purpose of the embodiments of the present invention is to provide an image super-resolution reconstruction method, device, mobile terminal and storage medium, which solves the problem that the image resolution improvement in the existing image super-resolution algorithm is not obvious and needs The technical problems that the sample set is too large, the training time is too long, and the trained dictionary cannot be universally applicable
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[0075] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.
[0076] see figure 1 , which is a schematic flowchart of an image super-resolution reconstruction method provided in the first embodiment of the present invention, the method includes:
[0077] Step 101: Perform joint dictionary training on low-resolution sample images and high-resolution sample images by using sparse coding to obtain over-co...
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The embodiment of the invention discloses a picture high-definition reconstruction method, device, mobile terminal and storage medium. The method includes performing combined dictionary training on low-definition sample pictures and high-definition sample pictures by adopting sparse coding and obtaining an overcomplete high-low dictionary pair, wherein the overcomplete high-low dictionary pair includes a low-definition dictionary and high-definition dictionary; obtaining a sparse representation coefficient of a low-resolution image to be reconstructed by utilizing the low-definition dictionary; and obtaining a reconstructed high-resolution image of the low-resolution image to be reconstructed by utilizing the sparse representation coefficient and the high-definition dictionary. Dictionarytraining time can be shortened and the overcomplete high-low dictionary pair for universal application and having clear structure can be acquired without need of an excessive large sample set. Besides, the resolution rate of the reconstructed high-resolution image can be increased effectively.
Description
technical field [0001] The present invention relates to the technical field of image processing, in particular to an image super-resolution reconstruction method, device, mobile terminal and storage medium. Background technique [0002] In the prior art, the image super-resolution algorithm is mainly divided into two categories, one is the image super-resolution algorithm based on the reconstruction algorithm, and the other is the image super-resolution algorithm based on the learning algorithm. Among them, the existing reconstruction-based The image super-resolution algorithm of the algorithm does not improve the resolution of the image significantly, especially for images with complex structures, the restored image is still relatively blurred; the existing image super-resolution algorithm based on learning algorithms requires The sample set is too large, the training time is too long, and the trained dictionary cannot be universally applicable. [0003] Therefore, the exi...
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IPC IPC(8): G06T3/40
CPCG06T3/4053
Inventor 胡战利范锐梁栋杨永峰刘新郑海荣
Owner SHENZHEN INST OF ADVANCED TECH