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Denoising method for high-throughput gene sequencing image

A technology for gene sequencing and sequencing images, applied in image enhancement, image data processing, instruments, etc., can solve problems such as poor denoising effect and image distortion, and achieve the effect of significant denoising effect and high robustness.

Active Publication Date: 2015-12-30
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

[0024] The purpose of the present invention is to provide a method for removing noise in high-throughput sequencing images, aiming to solve the problems existing in the prior art when performing denoising operations on high-throughput gene sequencing images, such as poor denoising effect, denoising The image after noise is distorted

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  • Denoising method for high-throughput gene sequencing image
  • Denoising method for high-throughput gene sequencing image
  • Denoising method for high-throughput gene sequencing image

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0051] The main steps of the present invention include wavelet decomposition, threshold selection, wavelet coefficient estimation after denoising, wavelet reconstruction and other steps, as attached figure 1 As shown, the specific implementation process of wavelet denoising for high-throughput gene sequencing images of the present invention is as follows:

[0052] (1) Perform wavelet decomposition on the sequencing image using a specific wavelet function to obtain wavelet coefficients for each layer;

[0053] There are many kinds of traditional wavelet basis functions, such as discrete wavelet transform, Mallet transform, and à-trous wavelet transform. Since à-trous wavelet satisfies the Nyquist theorem and has shift invariance, the present invention preferably selects à-trous wavelet and its β-3splineversion to perform wavelet analysis on imag...

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Abstract

The invention provides an a<`> trous based wavelet threshold denoising method which is applied to high-throughput gene sequencing image denoising. The denoising method provided by the invention is mainly an improvement for a hard threshold based isotropic un-decimated discrete wavelet algorithm. The specific operations are that wavelet decomposition is carried out on the high-throughput gene sequencing image by using specific wavelets, and utilization of an l1 norm is proposed to calculate a global threshold in allusion to each layer of wavelet coefficient. A wavelet coefficient expression is constructed through the global threshold and each layer of wavelet coefficient, and finally, a denoised image is acquired by using a wavelet reconstruction algorithm. Compared with the prior art, the method provided by the invention has the advantage of better denoising performance. The rationality and the robustness of the denoising method are proved through comparison of a plurality of groups of experimental data.

Description

technical field [0001] The invention belongs to the field of digital image denoising, and in particular relates to a denoising method for high-throughput gene sequencing images. Background technique [0002] High-throughput gene sequencing images carry a wealth of human genetic information, and extremely high resolution requirements have become an important part of measuring the success of experiments. However, since high-throughput gene sequencing images will generate various types of noise during the process of acquisition or transmission, these noises will affect subsequent image processing, point detection, and BaseCalling operations. Therefore, image denoising is of great significance . The main noises include the following two types: ① The original image of high-throughput gene sequencing is obtained by a CCD camera. The process of generating signal charges when light passes through the sensor is regarded as a random process, and in a unit time, the number of charges ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 颜珂徐勇
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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