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Automatic image registration and rapid super-resolution fusion method based on edge feature

A super-resolution, edge feature technology, applied in the field of image processing theory, can solve problems such as high algorithm complexity and slow speed

Inactive Publication Date: 2009-09-09
HOHAI UNIV
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  • Application Information

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Problems solved by technology

This method overcomes the shortcomings of slow execution speed and high algorithm complexity in previous image fusion.

Method used

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  • Automatic image registration and rapid super-resolution fusion method based on edge feature
  • Automatic image registration and rapid super-resolution fusion method based on edge feature
  • Automatic image registration and rapid super-resolution fusion method based on edge feature

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Embodiment Construction

[0067] Such as figure 1 As shown, the computer simultaneously reads low-resolution multi-spectral color images and high-resolution grayscale images from USB, infrared and other interfaces. The low-resolution color image is recorded as M, which has three bands, respectively M 1 ,M 2 ,M 3 , record the high-resolution grayscale image as P, the obtained images M and P are temporarily stored in the buffer, first obtain the registration parameters of the images M and P, and then undergo HIS transformation and IHS inverse transformation to obtain super-resolution color images F, stored in the buffer, or directly output to the monitor, or remotely transmitted through the network interface.

[0068] Such as figure 2 Shown is the flow chart of the method of the present invention. The algorithm is executed. First, the grayscale image P is registered to the I component, and then the grayscale image after histogram registration and the I component are fused based on the fuzzy integral...

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Abstract

The invention discloses an automatic image registration and rapid super-resolution fusion method based on edge feature, and relates to the field of image processing. The method is characterized in that the method comprises the following processing steps that: (1) a computer reads two kinds of target images to be processed to a buffer area from interfaces such as a USB, and the like, wherein one kind of images are low-resolution multispectral images, and the other kind of images are high-resolution grey images; (2) wavelet transformation and a least square fitting model are adopted to acquire registration parameters of the images; (3) the registered multispectral images are used to acquire strength component images through linear IHS transformation, and then histograms of the high-resolution grey images are matched to strength components; (4) the high-resolution grey images matched with the histograms are used to substitute the strength components, and the linear IHS inverse transformation is used to realize the super-resolution fusion of the images; and (5) super-resolution multispectral color images are output. The method has lower complexity and execution speed than the prior method, occupies less resources of a computer system, and is convenient to execute on embedded equipment.

Description

1. Technical field [0001] The invention relates to image processing theory, and realizes an image automatic registration and fast super-resolution fusion method based on edge features. 2. Background technology [0002] In applications such as video surveillance, resource exploration, on-line inspection of workpiece surface quality, and military reconnaissance, high-resolution images can often provide the required important details. In order to obtain high-resolution images, people first think of improving the performance of hardware equipment, but this will increase the manufacturing cost, and the existing manufacturing technology can basically achieve the maximum physical properties of existing materials, resolution The scale of improvement is also very limited. In summary, the method of obtaining high-resolution images by improving hardware performance cannot meet the needs of future development. [0003] At present, a method of using signal processing technology to obta...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
Inventor 徐立中凌静石爱业汤敏黄凤辰王慧斌马贞立
Owner HOHAI UNIV
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