Method of processing an input image by means of multi-resolution

A technology for inputting images and images, which is applied in the field of multi-resolution decomposition and gradient adaptive filtering, and can solve problems such as large amount of computation

Inactive Publication Date: 2006-02-01
KONINKLIJKE PHILIPS ELECTRONICS NV
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Problems solved by technology

However, due to the huge amount of computation required, it has so far only been possible to perform this method offline on stored images or image sequences

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  • Method of processing an input image by means of multi-resolution
  • Method of processing an input image by means of multi-resolution
  • Method of processing an input image by means of multi-resolution

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Embodiment Construction

[0046] described in detail in EP 996090A2 and WO 98 / 55916A1 figure 1 The MRGAF algorithm schematically given in , so the following will only be introduced in an overview way. The goal of the MRGAF algorithm is to significantly reduce the noise in the input image I while maintaining image detail and image sharpness. The basic idea of ​​the algorithm lies in multiresolution decomposition and anisotropic low-pass filtering of the resulting detail image as a function of local image gradients.

[0047] exist figure 1 In the example shown, the decomposition of the input image I (comprising 512×512 image points (pixels)) occurs in the form of K=4 decomposition levels. In each term called the Laplacian pyramid expression Λ j On the decomposition level j=0, 1, 2, 3, the Gaussian pyramid expression Γ is generated j as a detail image. In all cases, the level input expression is the Gaussian pyramid expression Г of the previous level (j-1) j-1 Or the original input expression I. Ga...

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Abstract

The invention relates to a method of multi-resolution with gradient-adaptive filtering (MRGAF) of X-ray images in real time. For an image strip of 2K adjacent rows, a resolution into a Laplacian pyramid (L 0 , . . . L 3 ) and a Gaussian pyramid (G 0 , . . . G 3 ) is carried out up to the K-th stage. By limiting a processing operation to such a strip, it is possible to keep all relevant data ready in a local memory with rapid access (cache). A further acceleration compared to the conventional algorithm is achieved by calculating the gradient (D) from the Gaussian pyramid representations. By virtue of these and other optimization measures, it is possible to increase a multi-resolution with gradient-adaptive filtering to a processing rate of more than thirty (768 (E 564) images per second.

Description

technical field [0001] The invention relates to a method and a data processing unit for processing an input image, in particular to a method and a processing unit for multi-resolution decomposition and gradient adaptive filtering of real-time X-ray images. Background technique [0002] Automatic evaluation of images occurs in a large number of different application fields. Therefore, the processing of fluoroscopic X-ray images considered in more detail below should be understood as merely an example. In order to minimize the amount of X-radiation received by patients and medical staff, X-ray images are obtained with the lowest possible radiation dose. However, there is a risk that important image details will be lost in image noise. To prevent this problem, attempts have been made to suppress noise by using spatial and temporal filters on X-ray images or image sequences without destroying the relevant image information in processing. [0003] In such an image processing e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T1/60G06TG06T5/10G06T5/20G06V10/30
CPCG06T2207/30004G06T2207/10116G06T5/001G06T5/20G06T2207/20016G06K9/40G06T5/10G06T5/002G06T2207/20192G06V10/30
Inventor K·埃克H·菲尔布兰德
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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