NAS-improved OCT image blind restoration method

Abstract

The invention discloses an NAS-improved OCT image blind restoration method, and belongs to the field of visual inspection. The method comprises the following steps: preprocessing OCT images by applying a GNLDF algorithm, and estimating a target support domain of the OCT images by adopting a minimum error threshold distributed based on Poisson; building an improved cost function regularized based on ATV by importing gradient information of OCT estimated images; optimizing the improved cost function by adopting a splitting Bregman iterative algorithm so as to regulate FIR filter coefficient so that projected images are continuously close to real images, and thus, blind restoration of the OCT images is realized. According to the method, the gradient information of the OCT estimated images isfully utilized; by the built improved cost function, the nose robustness of the NAS-RIF method in the blind restoration process of the OCT images is effectively improved, detail information of the images can be kept, and the OCT restored images with high signal-noise ratio, which has a clear structure and has an obvious edge, is acquired.

Description

technical field [0001] The present invention relates to a blind restoration method of an Optical Coherence Tomography (OCT) image, which belongs to the field of visual detection, and in particular to an improved nonnegativity and support recursive inverse filtering (Nonnegativity and Support Recursive Inverse Filtering, NAS-RIF) OCT image blind restoration method. Background technique [0002] OCT technology uses the low coherence of the light source to obtain the internal structure information of the sample to be tested. It has been applied in the fields of biomedicine, clinical medicine and non-destructive testing of objects. However, the OCT system is easily affected by noise during the imaging process, resulting in image degradation, masking and blurring. The detailed information of the image directly affects the accuracy of OCT image analysis. Therefore, realizing the restoration of the OCT image and obtaining the OCT image with clear structure and clear edges and high...

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Problems solved by technology

The non-blind restoration method realizes OCT image restoration based on the Point Spread Function (PSF) of the actual OCT image. However, it is difficult to accurately obtain the PSF of the OCT image in practical applications, which makes it difficult to obtain high-quality OCT restoration using the non-blind restoration method. image; while the NAS-RIF method in the blind restoration method can use the target support domain and non-negativity of the OCT image to impose constraints on the restoration process and achieve reliable image restoration when the PSF is unknown. The process of image restoration is easily affected by the noise of the observed image, which makes the estimated image biased, and the noise robustness is low, which restricts the improvement of the quality of OCT image restoration

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