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Single-frame resolution ratio reconstruction method based on sparse coding and combined mapping

A technology of super-resolution reconstruction and sparse coding, which is applied in the field of single-frame super-resolution reconstruction, can solve problems such as dependence and slow reconstruction speed, and achieve the effect of accurate information expression, reduced quantity, and rich texture information

Active Publication Date: 2017-11-10
中工互联(北京)科技集团有限公司
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to solve the problem that the reconstructed image quality depends on a large training set and the reconstruction speed is slow in the existing super-resolution reconstruction method based on learning and training. Super-resolution reconstruction method with faster speed and higher definition of reconstructed images

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  • Single-frame resolution ratio reconstruction method based on sparse coding and combined mapping
  • Single-frame resolution ratio reconstruction method based on sparse coding and combined mapping
  • Single-frame resolution ratio reconstruction method based on sparse coding and combined mapping

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Embodiment 1

[0070] Method of the present invention comprises the following steps:

[0071] Step 1. Preliminary acquisition of high- and low-resolution training image feature block sets with corresponding relationships: according to the degradation model shown in the following formula 9, the input high-resolution image training set {X hh} degrade to obtain a low-resolution image training set. The degradation model can be expressed as follows:

[0072] x ll =DBX hh +n (9)

[0073] The above formula can be interpreted as a high-resolution image X hh Low resolution image X after downscaling ll , where D represents the downsampling operator, B represents the Gaussian blur operator, and n represents the added white noise. After that, for {X ll}Use bilinear interpolation to get medium and high resolution image set {X ml}. refer to image 3 , the next step is to perform feature extraction, the method is as follows: the high-resolution image directly subtracts the interpolation image inf...

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Abstract

The invention discloses a single-frame resolution ratio reconstruction method based on sparse coding and combined mapping. The method comprises the following steps that: processing an initial high-resolution training set image to obtain an expanded high-resolution feature block sample and an interpolated medium and high resolution feature block sample; training an obtained feature sample, obtaining a dictionary atom as a clustering center, and clustering samples by the center; according to a corresponding relationship among different resolutions, solving the mapping matrix of each cluster; on the basis of the low-resolution image processing way of the training set, processing an input low-resolution test image, and solving the sparse coefficient of the low-resolution test image by the dictionary atom obtained by training; taking the sparse coefficient as a weight, taking each mapping matrix obtained by clustering as a combined element, carrying out matched combination to obtain a mapping relationship required by image reconstruction, and directly multiplying the mapping matrix by an interpolated medium and high resolution feature block to obtain a high-resolution feature block; and carrying out overlap removal and block fusion, and adding original low-frequency information to obtain the reconstructed high-resolution image.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a single-frame super-resolution reconstruction method based on sparse coding and combined mapping. Background technique [0002] With the widespread popularization of various modern image and video devices and the frequent use of various mobile devices, it poses a challenge to the rapid transmission of images and the display of high-quality images. At present, in order to obtain clearer high-resolution images, the direct method is to apply an optical camera with higher resolution, but this method is not only limited by the manufacturing process of hardware equipment, but also has high cost, large storage space, and time-consuming transmission. disadvantages. In terms of software, the interpolation method is generally used to obtain high-resolution images. Although the spatial resolution of the image can be increased appropriately, it is limited by the expansion factor, the defini...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06K9/62
CPCG06T2207/20081G06F18/23213G06T5/73
Inventor 任坤杨玉清孟丽莎孙光民王普
Owner 中工互联(北京)科技集团有限公司
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