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Image real-time super-resolution reconstruction method based on acceleration of GPU

A super-resolution and super-resolution image technology, which is applied in the field of image spatial resolution reconstruction based on GPU acceleration, can solve the problems of limiting the application scope and popularization of super-resolution technology, far from real-time processing, and huge amount of image data. Ring effect, reduced runtime, good detail effects

Inactive Publication Date: 2013-09-11
XIDIAN UNIV
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Problems solved by technology

[0005] Due to the large amount of image data itself, and the super-resolution reconstruction technology often increases the complexity of the algorithm in exchange for high result quality
Due to the long processing time, the existing super-resolution methods based on CPU serial implementation are often difficult to perform real-time processing while obtaining good processing results.
This limits the scope and popularization of the application of super-resolution technology to a certain extent.
A fast and high-quality image , video resolution reconstruction method, and tried to use GPU to accelerate the calculation process, but because it failed to perform reasonable parallelization acceleration on the calculation bottleneck in the serial calculation of the method, the GPU parallel implementation of this method can only be relatively CPU serial implementation gets lower speedup ratio, far from real-time processing

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  • Image real-time super-resolution reconstruction method based on acceleration of GPU

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Embodiment Construction

[0032] The specific implementation and effects of the present invention will be further described in detail below with reference to the accompanying drawings.

[0033] refer to figure 1 , the concrete realization of the present invention is as follows:

[0034] Step 1, input a low-resolution image I 0 and the target spatial resolution, and the low-resolution image I 0 Convert from the RGB color space to the YUV color space, and obtain the low-resolution image I in the YUV color space 1 , where R represents the red component image, G represents the green component image, B represents the blue component image, Y represents the brightness component image, and UV represents the chrominance component image.

[0035] Step 2, memory allocation and initialization.

[0036] According to the low-resolution image I 1 The CPU and GPU memory are allocated and initialized uniformly with the size of the target spatial resolution, and no memory allocation is performed until the end of th...

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Abstract

The invention discloses an image real-time super-resolution reconstruction method based on acceleration of a GPU. The image real-time super-resolution reconstruction method based on the acceleration of the GPU mainly solves the problem that an existing high quality image super-resolution reconstruction serial algorithm is hard to process in real time. The method comprises the following steps of (1) inputting a low-resolution image, (2) carrying out bicubic interpolation up-sampling on the low-resolution image to obtain an interpolation image, (3) carrying out image deconvolution operation based on consistent gradient and opposite direction constraint to the obtained interpolation image, and carrying out parallelization acceleration on the deconvolution operation on the GPU so as to obtain an output super-resolution image in ultrashort time. Experiment shows that the image real-time super-resolution reconstruction method based on the acceleration of the GPU can obtain high quality super-resolution results which contain good details and are clear in texture and natural and reasonable in structure in quite short computing time, and can be widely applied to relative application fields of changing of image resolution.

Description

technical field [0001] The invention belongs to the field of digital image and video processing, and in particular relates to a GPU-accelerated image spatial resolution reconstruction method, which can be used for problems in related application fields of image and video resolution changes, such as medicine, satellite image imaging and target detection and identification. Background technique [0002] Super-resolution (SR) technology is one of the most basic problems in computer vision and digital image processing. It refers to recovering high-resolution images from one or more low-resolution (LR) images. Image process and techniques. The resolution mentioned here not only refers to the physical resolution of the image, but more importantly, it emphasizes the visual quality of the image in terms of details, edges, and clarity. With the improvement of the quality and resolution of display components in equipment such as high-definition televisions and high-end mobile phones...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 郑喆坤焦李成孙增增谷爱国鞠军委王帅马文萍马晶晶
Owner XIDIAN UNIV
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