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Method for converting low-resolution image into high-resolution image

A high-resolution image, low-resolution image technology, applied in the field of image processing, can solve problems such as low calculation efficiency, jagged, and no consideration of image structure information

Inactive Publication Date: 2014-03-12
金华灵息智能科技有限公司
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Problems solved by technology

[0007] The purpose of the invention is to solve the problems of jaggedness, low calculation efficiency, and failure to consider the structural information of the image in the existing image super-resolution technology, and to provide a high-quality reconstruction that is more authentic Algorithms for high-resolution images

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  • Method for converting low-resolution image into high-resolution image
  • Method for converting low-resolution image into high-resolution image
  • Method for converting low-resolution image into high-resolution image

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Embodiment Construction

[0064] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0065] Such as figure 1 The illustrated embodiment is a method for converting a low resolution image to a high resolution image comprising the steps of:

[0066] Step 100, input a low-resolution image in the computer and consists of several high-resolution images I h sample set setting b 1 , b 2 ,...,b 6 There are 6 thresholds, i=1, 2,..., 6; b 1 , b 2 ,... b n Respectively 256,128,64,32,16,8; utilize computer M A T L A B software to carry out the processing of following steps:

[0067] Step 200, according to compute texture function

[0068] Step 201, using the formula calculate {I h} for each high-resolution image I h The corresponding low-resolution image I l , and by each I l compose image collection {I l};in, is the convolution operator, G is the Gaussian kernel, σ is Gaussian width, x is I h Any pixel value of ...

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Abstract

The invention discloses a method for converting a low-resolution image into a high-resolution image. The method comprises the steps of carrying out concentrated sample matching according to a given input low-resolution image Il<t> and according to similarity measure to obtain an image block set and taking out the best image block with the use of the prior knowledge of texture to generate a texture gradient function Ut (p). According to the method, Il<t> is interpolated to generate an image Is in the direction of a retained image, an edge gradient function Ue (p) is generated with the use of a learned edge function ft (vl), and Ut (p) and Ue (p) are weighted with the use of a weighting function W(p) to generate a gradient function U, thereby obtaining a high-resolution image Ih<t> amplified by S times. The method for converting a low-resolution image into a high-resolution image has the characteristic that a reconstructed high-resolution image is high in quality and is more real.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method for converting low-resolution images into high-resolution images based on samples and prior knowledge that can reconstruct high-quality, more realistic super-resolution images. method. Background technique [0002] Image super-resolution technology has very important applications in the fields of video, remote sensing, medicine and security monitoring, and has gradually expanded to other fields. For now, the most direct way to obtain high-resolution images is through high-precision optical equipment and other related instruments, but high-precision equipment and instruments are often bulky and expensive, and not very practical. Therefore, in the actual application process, people hope to use software programs to obtain high-resolution images that cannot be achieved by general physical hardware. [0003] Research on image super-resolution techniques can...

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Application Information

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IPC IPC(8): G06T5/50G06T3/40
Inventor 郑忠龙付芳梅贾泂
Owner 金华灵息智能科技有限公司
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