Image processing method and device based on Laplace pyramid

An image processing device and image processing technology, applied in the field of image processing, can solve the problems of a large number of parameter settings limiting the actual application range, time-consuming, etc., and achieve the effect of reducing time complexity and flexible image enhancement

Active Publication Date: 2012-08-22
SUN YAT SEN UNIV
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However, these methods are time-consuming in processing, and their practical application rang

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  • Image processing method and device based on Laplace pyramid
  • Image processing method and device based on Laplace pyramid
  • Image processing method and device based on Laplace pyramid

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0042] The present invention performs edge-preserving image enhancement based on the Laplace pyramid, so the Laplace pyramid is its core content, and the Laplace pyramid is based on the Gaussian Pyramid. In the Gaussian pyramid, the bottom layer is its original image, namely G 0 =I, and each layer of pyramid image is generated by halving the width and height of the next layer of pyramid image. The traditional Laplace pyramid is the difference image between the ima...

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Abstract

The embodiment of the invention discloses an image processing method and device based on a Laplace pyramid, wherein the image processing method comprises the steps of: constructing a Gaussian pyramid corresponding to an input image; generating an intermediate image according to the Gaussian pyramid and a mapping function r(x); obtaining a coefficient of the Laplace pyramid according to the intermediate image; correspondingly outputting the coefficient of the Laplace pyramid based on the intermediate image to the Laplace pyramid until each point of the Laplace pyramid is filled, obtaining a new Laplace pyramid; and reconstructing an image according to the new Laplace pyramid, and obtaining an output image. By implementing the embodiment of the invention, the restraint that the traditional Laplace pyramid can not be used for carrying out edge preserving image enhancement, the edge preserving image enhancement is carried out by using the Laplace pyramid, the image processing method more simply and flexibly realizes image enhancement in comparison with the traditional edge preserving image enhancement methods (such as two-side filtering and wavelet methods), the time complexity can be reduced, and additional excessive parameters are not needed to be set.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image processing method and device based on a Laplacian pyramid. Background technique [0002] Image enhancement is an important application of computer technology. Its purpose is to improve people's visual effects on images. Generally, it is aimed at the application of a given image, purposefully emphasizing the overall or local characteristics of the image, and transforming the original unclear image. It can clearly or emphasize some interesting features, expand the difference between different object features in the image, suppress uninteresting features, achieve the purpose of improving image quality and enriching information, strengthen image interpretation and recognition effects, and meet certain special requirements. analysis needs. [0003] Image enhancement methods can be divided into two categories: frequency domain methods and space domain methods. The a...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 李彦王若梅韩冠亚
Owner SUN YAT SEN UNIV
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