Image super-resolution reconstruction method based on cascading linear regression

A super-resolution reconstruction and linear regression technology, applied in the field of image processing, can solve problems such as poor generalization ability of algorithms and modeling, and achieve fast reconstruction speed, low time complexity, and clear reconstructed images

Active Publication Date: 2015-05-27
西咸新区大熊星座智能科技有限公司
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Problems solved by technology

Although the regression-based method can reduce reconstruction artifacts, the determination of the existing regression function needs to estimate too many parameters, resulting in poor generalizat

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  • Image super-resolution reconstruction method based on cascading linear regression
  • Image super-resolution reconstruction method based on cascading linear regression
  • Image super-resolution reconstruction method based on cascading linear regression

Examples

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Example Embodiment

[0032] refer to figure 1 , the implementation steps of this example are as follows:

[0033] Step 1, construct a training image set.

[0034] (1a) Select N high-resolution natural images from the network, and convert these N high-resolution images from RGB space to YCbCr space, and then down-sample s times to obtain corresponding low-resolution images, N>0, s>0;

[0035] (1b) Extract the brightness component of the high-resolution image and the luminance component of the low-resolution image Form the training data set

[0036] Step 2, perform initial estimation on the high-resolution image.

[0037] Luminance Component of Low Resolution Image Using Bicubic Interpolation Method Upsampling by s times, as the initial estimate of the corresponding high-resolution image

[0038] Step 3, build a set of training feature blocks.

[0039] (3a) The initial estimated image and its corresponding high-resolution image Divided into image blocks of the same size and overlap...

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Abstract

The invention discloses an image super-resolution reconstruction method based on cascading linear regression. The image super-resolution reconstruction method mainly solves the problems that an existing method is unstable in reconstruction process and low in efficiency and too much pseudomorphism exists in generated high resolution images. The realization process comprises the following steps: (1) constructing a training image set; (2) learning training images to determine a T-group linear regression device and a T-group clustering center; (3) carrying out preprocessing on tested low resolution images to obtain initial estimated high resolution images, and extracting different components of the images; (4) blocking the brightness component, and carrying out initial estimation on the brightness characteristic block; (5) carrying out iterative updating and reconstruction on the initial estimated characteristic block to obtain high resolution image blocks; (6) combining the high resolution image blocks to obtain a high resolution brightness component image; (7) splicing the high resolution brightness component image and the chromaticity component to obtain high resolution images. The generation of pseudomorphism is reduced, the definition of the reconstructed images is improved, and the method can be used for high definition video display.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to an image super-resolution reconstruction method, and can be used in the fields of satellite remote sensing imaging, public security, high-definition video display, medical imaging, and computer identification. Background technique [0002] The image acquisition process is often affected by many factors such as atmospheric disturbances, limitations of the physical resolution of the imaging system, and scene motion changes, which often cause degradation such as optical blur, motion blur, undersampling, and noise in the actual imaging process. Due to these factors, the imaging system can only obtain images or image sequences with poor quality and low resolution, which brings many difficulties to subsequent image processing, analysis and understanding. Super-resolution reconstruction technology is to reconstruct a high-resolution clear image from a single or multiple observable lo...

Claims

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Application Information

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IPC IPC(8): G06T5/50
Inventor 高新波胡彦婷王楠楠李洁任文君彭春蕾张声传张铭津
Owner 西咸新区大熊星座智能科技有限公司
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