Image super-resolution method and system

A super-resolution and image segmentation technology, applied in the field of image super-resolution methods and systems, can solve problems such as high algorithm time complexity, image edge jagged defects, ringing effects, etc.

Active Publication Date: 2012-02-15
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0003] However, in these traditional image super-resolution methods, the interpolation-based algorithm does not introduce high-frequency information from the high-resolution image, so the final high-resolution image is too smooth and there are jagged flaws at the edge of the image; the disadvantage of the reconstruction-based method is the artificially imposed The image prior is not necessarily suitable for an

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  • Image super-resolution method and system
  • Image super-resolution method and system

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Embodiment Construction

[0051] The specific embodiments of the present invention will be described below mainly in conjunction with the accompanying drawings.

[0052] see figure 1 , a kind of image super-resolution method, it comprises the steps:

[0053] Step S110, acquiring an original image, and performing up-sampling on the original image to obtain an initial result. In the traditional upsampling algorithm, the filter design method only considers the spatial information and discards the useful image intensity information. In this embodiment, a new upsampling method that considers both spatial information and image intensity information is proposed.

[0054] see figure 2 , the steps of upsampling the image include:

[0055] Step S111 , performing mean-shift image segmentation on the original image to obtain a segmented original image. In this example, select pixels that are adjacent to the target pixel and have similar colors to interpolate the target pixel. First, use the mean shift (mean ...

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Abstract

The invention discloses an image super-resolution method comprising the following steps of: acquiring an original image, up-sampling the original image to obtain an initial result; filtering the sampled initial result by using a plurality of impact filter waves to obtain an intermediate result; and carrying out reconstruction constraint on the intermediate result to obtain a high-resolution image. Image space information and strength information are simultaneously considered in the up-sampling algorithm, and current pixels are smoothed by using a bilateral filtering method; the impact filter waves can enhance the edge of the image; and finally reconstruction is carried out to obtain the high-resolution image. Therefore, the generated high-resolution image has smooth transition and can effectively avoid obvious boundary flaws. In addition, the invention provides an image super-resolution system.

Description

【Technical field】 [0001] The invention relates to image processing technology, in particular to an image super-resolution method and system. 【Background technique】 [0002] Image super-resolution algorithms have many important applications in the multimedia field, such as playing low-resolution videos on high-resolution hardware devices. Although there are many super-resolution algorithms, the super-resolution problem has not been well solved. The generation of low-resolution images can be considered to be obtained by smoothing and downsampling of high-resolution images, so a low-resolution image can be used to reconstruct a corresponding high-resolution image. This algorithm is called image super-resolution algorithm. Traditional image super-resolution methods can be divided into three categories: interpolation-based, reconstruction-based, and learning-based. [0003] However, in these traditional image super-resolution methods, the interpolation-based algorithm does not ...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 陈世峰周强刘健庄汤晓鸥许春景乔宇
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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