Image approximation method based on extended smoothlets (ExSoothlets) transformation

An approximation method and image technology, applied in the field of image approximation and image processing, can solve problems such as smoothlets' incomplete definition of the transition zone

Active Publication Date: 2016-12-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that smoothlets have insufficient definition of the transition zone. Smoothlets directly translate the edge curve in the horizontal or vertical direction, but the composition of the transition zone of the actual image may not be like this. If the transition zone of the image is A 1 / 4 circle, at this time it is difficult to accurately express the image with smoothlets

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  • Image approximation method based on extended smoothlets (ExSoothlets) transformation
  • Image approximation method based on extended smoothlets (ExSoothlets) transformation
  • Image approximation method based on extended smoothlets (ExSoothlets) transformation

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[0052] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0053] The present invention mainly adopts the method of computer simulation for verification, and all steps and conclusions are verified correctly on MATLAB-R2015a. The specific implementation steps are as follows:

[0054] Step 1. Block the image

[0055] Input a grayscale image, the image size is 256×256. The image is layered, the maximum layer J=8, because the size of the block image is 1×1 and 2×2 contains too few pixel values, it is meaningless to approximate them, so the size of the smallest image block is set to 4 . For layer j, the tiled image size is 2 j ×2 j (j=2,3,...,8), and divide 256×256 into 7 layers, the size of the first layer image block is 256×256, and record the coordinates of the upper left corner of the image, namely (1,1); The size of the second-layer image block ...

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Abstract

The invention discloses an image approximation based on extended smoothlets (ExSoothlets) transformation. The smoothlets transformation realizes a description on a transition zone by employing a translation edge curve along a horizontal or vertical direction. However, in actual applications, many edges cannot be obtained by horizontal or vertical translation; and at this moment, the smoothlets is difficult to express an image accurately. According to the image approximation method disclosed by the invention, the ExSoothlets transformation is realized by establishing a more generalized curve model and defining a direction function of the transition zone. The ExSoothlets translates the curve according to the direction function; and parameters of the transition zone are determined by distances from points inside the transition zone to the edge curve. Compared with the smoothlets transformation, the image approximation method disclosed by the invention can express the image better; and the image approximation accuracy is improved.

Description

Technical field: [0001] The invention is used in the technical field of image processing, and specifically relates to the field of image approximation. Background technique: [0002] Since the geometric features of an image are the most important information from the perspective of the human visual system, the study of geometric multi-scale methods for image representation is becoming more and more common, and these multi-scale methods are roughly divided into two categories. One is frame-based non-adaptive computing methods, such as: ridgelets, curvelets, contourlets, shearlets, directionlets. The other is adaptive approximation methods, such as wedgelets, beamlets, second order wedgelets, platelets, surflets, smoothlets. In recent years, basis-based adaptive algorithms have also emerged, such as brushlets, bandelets, grouplets, and tetralets. These "X-lets" are called ultrawavelets, and more and more "X-lets" are defined. [0003] Smoothlets is an ultrawavelet transform...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/002G06T5/10G06T2207/20021G06T2207/20064
Inventor 王帅段昶张倩
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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