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Method and apparatus for noise reduction

A technique for local variance and detail, applied in the field of medical radiographic imaging systems, which can solve problems such as expensive computation, artifacts, large filters, etc.

Pending Publication Date: 2022-05-06
AGFA NV
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Problems solved by technology

If the noise band is not very narrow, then larger filter sizes must be used, and artifacts may appear in areas where statistics change abruptly, such as near edges
Filters known as "sigma filters" or "adaptive mean filters" - as they are called in the above comparative study by Wong et al. - provide a solution to this problem, but they are in is computationally expensive

Method used

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  • Method and apparatus for noise reduction

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Embodiment Construction

[0057] Description of the embodiment

[0058] The noise reduction algorithm of the present invention is applicable to all multi-scale detail representation methods from which the original image can be computed by applying an inverse transformation. Noise reduction equates to an enhancement of the signal-to-noise ratio in an image. Preferably, the multi-scale representation has a pyramid structure such that the number of pixels in each detail image decreases at each coarser resolution level.

[0059] State-of-the-art multi-scale algorithms decompose an image into a multi-scale representation that includes a detail image and a residual image that represent details at multiple scales. Some important multiscale decompositions are wavelet decomposition, Laplacian Gaussian decomposition (or logarithmic decomposition), difference of Gaussian (or DoG) decomposition, and Burt's pyramid.

[0060] Wavelet decomposition is computed by applying a cascade of high-pass and low-pass filters...

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Abstract

The invention relates to a multi-scale image processing algorithm for enhancing the contrast-to-noise ratio in an electronic representation of an image. A digital image is represented by a) decomposing the digital image into a detail image at a plurality of resolution levels and a set of residual images at a resolution level lower than the plurality of resolution levels, b) processing the detail image, c) computing a processed image by applying a reconstruction algorithm to the residual image and the processed detail image, the reconstruction algorithm is such that if it is applied to residual images and detail images without processing, an approximation of the digital image or its proximity will be obtained. The processing comprises the steps of d) calculating a local variance value for at least one detail image pixel within a neighborhood of said detail image pixel, e) enhancing or suppressing at least one detail image pixel as a function of said local variance value and said detail image pixel.

Description

technical field [0001] The present invention relates to a method and system for enhancing the image quality of digital images represented by digital signals by increasing the signal-to-noise ratio of such images. [0002] More particularly, the present invention relates to such methods for use in medical radiography imaging systems, such as computed radiography systems. Background technique [0003] Typically, images represented by digital signals, such as medical images, are subjected to image processing during or prior to displaying softcopy or hardcopy recordings. Converting gray-value pixels to values ​​suitable for reproduction or display may include multi-scale image processing methods (also called multi-resolution image processing methods), by means of which the contrast of the image is enhanced. [0004] Images obtained from image sensing devices always contain some degree of noise. In the field of application of medical X-ray imaging, there is a known trade-off be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20016G06T2207/20012G06T2207/20192G06T5/73G06T5/70G06T2207/30004
Inventor J·孙斯P·维勒斯泰克
Owner AGFA NV
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