Digital image magnification method based on quadrilateral and triangular surface patches

A digital image and triangle technology, applied in the field of image processing, can solve problems such as edge blur and distortion, and achieve the effect of eliminating blur, fast speed and high algorithm efficiency

Active Publication Date: 2018-04-17
徐李添
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In the above algorithm, if the adjacent four pixels are not sampled from the same object in the original scene, there will be edges of the image in the quad

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  • Digital image magnification method based on quadrilateral and triangular surface patches
  • Digital image magnification method based on quadrilateral and triangular surface patches
  • Digital image magnification method based on quadrilateral and triangular surface patches

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Embodiment Construction

[0027] A digital image is a sampling of the surface of a certain scene. The more samples are taken, the finer the details of the original scene surface will be depicted. For the image magnification problem, if the surface composed of visible parts of the original scene surface can be reconstructed according to the reverse image, and the scene can be resampled, a detailed and clear magnified image can be obtained. The image is represented in the form of a pixel matrix, and every four adjacent pixels can form a quadrilateral grid, such as figure 2 shown.

[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] Such as figure 1 shown, including the following steps:

[0030] 1) The 16 pixels in each 4×4 area in the image pixel matrix are divided into two categories according to the gray value, corresponding to two different sampling objects in the original scene.

[0031] Since the gray values ​​of ...

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Abstract

The invention discloses a digital image magnification method based on quadrilateral and triangular surface patches. The method comprises the following steps of classifying 16 pixel points on each 4*4area in a to-be-amplified image pixel matrix according to different gray values; determining a division scheme of a quadrilateral mesh in the central position of the area based on a classification result, and dividing the quadrilateral mesh into two triangular meshes or not dividing; constructing cubic polynomial and quadratic polynomial curved surface patches on the quadrilateral mesh divided into two triangles to respectively fit two different objects of an original scene, wherein the two curved surface patches are discontinuous and can better fit the surface of the original scene; constructing bicubic polynomial curved surface patches on the undivided quadrilateral mesh; splitting all curved surface patches together to obtain a fitting curved surface of the original surface; and increasing a sampling density on the fitting curved surface and completing image amplification by re-sampling. Through the above-mentioned manner, the division method is simple, the accuracy rate is high, image details and edges can be better kept and the efficiency of an algorithm is relatively high.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a digital image enlargement method based on quadrilateral and triangular surface patch fitting. Background technique [0002] Image magnification involves image magnification technology or the technology of generating high-resolution images (HR). It is a common scientific problem and key technology in the fields of image processing, computer graphics, computer vision and digital content creation. It is used in medical image processing, satellite detection, Geological exploration, virtual reality and game entertainment have a wide range of applications. With the development of network video, mobile phones and high-definition television, image enlargement has received more and more attention. [0003] A digital image is a number converted from the original scene perception data obtained by the sensor through spatial sampling and gray quantization. The more spatial sampli...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T15/10
CPCG06T3/4007G06T15/10
Inventor 徐李添叶才增
Owner 徐李添
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