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Sparse domain reconstruction-based single-frame image super-resolution reconstruction method and device

A frame image, super-resolution technology, applied in the field of single-frame image super-resolution reconstruction, can solve the problem of not being able to select a suitable interpolation function with prior knowledge to obtain high-quality reconstructed images.

Inactive Publication Date: 2017-05-31
TCL CHINA STAR OPTOELECTRONICS TECH CO LTD
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is the technical problem in the prior art that a suitable interpolation function cannot be selected according to the prior knowledge of the image to obtain a high-quality reconstructed image. A reconstruction algorithm for obtaining high-quality reconstructed images with an interpolation function

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  • Sparse domain reconstruction-based single-frame image super-resolution reconstruction method and device
  • Sparse domain reconstruction-based single-frame image super-resolution reconstruction method and device
  • Sparse domain reconstruction-based single-frame image super-resolution reconstruction method and device

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Embodiment 1

[0085] This example provides Figure 5 The shown device comprises an extraction module connected in sequence, an operation module, a storage module and a graphic output module; the operation module is used for numerical calculation, and the extraction module is used for extracting image features; the storage module is used for storing data, Including 80C51 general-purpose single-chip microcomputer and SD card, the single-chip microcomputer is connected to the SD card, and is used to control the SD card to perform read and write operations; the SD card is used to store and transmit data; the graphics output module is used to output images, and communicate with the Input images for comparison, including LCD monitors and printers. The extraction module includes an edge detection module connected in sequence, a noise filtering module and a graphic segmentation module; the edge detection module is used to detect image edge features; the noise filtering module is used to filter out ...

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Abstract

The invention relates to a sparse domain reconstruction-based single-frame image super-resolution reconstruction method and a sparse domain reconstruction-based single-frame image super-resolution reconstruction device. The technical problem that a proper interpolation function cannot be selected according to the priori knowledge of an image to acquire a high-quality reconstructed image in the prior art is mainly solved. A first normal form of instance mapping learning is adopted, mapping M from a low-resolution characteristic B1 on a sparse domain to a high-resolution characteristic Bh on the sparse domain and mapping from the high-resolution characteristic Bh on the sparse domain to the high-resolution characteristic YS are subjected to combined training, and mapping error and reconstruction error are halved to a mapping operator M, a reconstructed high-resolution dictionary phi h and a reconstructed high-resolution sparse coefficient Bh, so the problem that the reconstruction quality is influenced by a larger error of one specific item is solved well, and the method and the device can be applied to graphic processing.

Description

technical field [0001] The present invention relates to the field of graphics processing, in particular to a single-frame image super-resolution reconstruction method and device based on sparse domain reconstruction. Background technique [0002] As the carrier of human beings to record the information of the objective world, images play an important role in industrial production and daily life. However, due to the limitations of imaging system equipment status, imaging environment, and limited network data transmission bandwidth, the imaging process often has motion blur and downsampling. And noise pollution and other degradation processes, so that the actual obtained image has low resolution, loss of detail texture, and poor subjective visual effect. In order to obtain high-resolution images with clear texture and rich details, the most direct and effective method is to improve the physical resolution level of sensor devices and optical imaging systems by improving the man...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/13
CPCG06T3/4007G06T3/4076G06T2207/20224G06T2207/20152G06T3/4053
Inventor 李冀翔许神贤周明忠
Owner TCL CHINA STAR OPTOELECTRONICS TECH CO LTD
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