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Fast NEDI (new edge-directed interpolation) image interpolation implementation method

An implementation method and image technology, applied in image enhancement, image data processing, graphics and image conversion, etc., can solve the problems of limited application and high computational complexity, achieve clear and sharp edges, improve accuracy, and reduce computational complexity Effect

Inactive Publication Date: 2014-01-08
AIR FORCE UNIV PLA
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Problems solved by technology

[0010] The purpose of the embodiment of the present invention is to provide a fast NEDI image interpolation implementation method, aiming to solve the problem that the classic NEDI algorithm has high computational complexity, which limits the practical application of this method

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Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0029] figure 1 It shows the flow of the fast NEDI image interpolation implementation method provided by the present invention. For ease of illustration, only the parts relevant to the present invention are shown.

[0030] The fast NEDI image interpolation realization method that the embodiment of the present invention provides comprises the following steps:

[0031] Step 1: Determine whether the magnification factor n is 0, if yes, go to step 5; if not, continue;

[0032] Step 2: Use the template to calculate the difference coefficient, which can be divided into the difference coefficient A1 of the central point and the...

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Abstract

The invention discloses a fast NEDI (new edge-directed interpolation) image interpolation implementation method. The method comprises the steps that whether a magnification times n is zero or not is judged, if so, the step five is carried out, if not, the operation continues; interpolation coefficients are computed by using a template, the interpolation coefficients can be divided into a difference coefficient A1 for a central point and a difference coefficient B1 for a non-central point; the coefficients A1 and B1 and known pixel points are repeatedly used to figure out a pixel value with interpolation points, and a doubly-magnified image is obtained; whether the magnification times n is one or not is judged, if so, the step five is carried out, if not, n is enabled to be equal to the result of subtracting 1 from the n, and the step 3 is carried out; the method is finished, and a final image is outputted. According to the fast NEDI image interpolation implementation method, a circular template is adopted, the local statistical information of a low-resolution image can be better reflected, the accuracy of the interpolation coefficients is improved, the ringing phenomenon close to the edge can be eliminated after interpolation, and a high-resolution image with more clear and sharp edge can be obtained; the interpolation coefficients are only computed once in the high-powered image magnification process and used repeatedly, and the computational complexity is greatly reduced.

Description

technical field [0001] The invention belongs to the field of NEDI algorithms, in particular to a fast NEDI image interpolation realization method. Background technique [0002] Super-resolution technology has its application value in many fields, including high-definition television, high-resolution printing of video images, medical imaging, aviation and satellite imaging, remote sensing, surveillance images, and digital photography. However, in the process of image acquisition, due to the limitations of various factors such as imaging system (such as CCD camera, etc.), external environment, and imaging technology, the image has different degrees of degradation, which is difficult to meet the actual needs. Enlarging digital images is an important topic in multimedia technology and image display technology. Existing image scaling algorithms are roughly divided into traditional interpolation algorithms and edge adaptive algorithms. The former includes nearest neighbor interpo...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00
Inventor 刘楠张登福熊磊毕笃彦查宇飞
Owner AIR FORCE UNIV PLA