Depth image denoising method

Abstract

The invention discloses a depth image denoising method which can reduce edge blur of images, is applicable to non-zero-mean Gaussian denoising and greatly improves depth image quality. The depth image denoising method includes the steps that 1, joint bilateral filtering is carried out on the depth images, the action scope of a bilateral filter is constrained, and accordingly filtered images are obtained; 2, a dictionary is trained through a K-SVD method, the filtered images of the first step are denoised through sparse representation on the basis of the dictionary, and reconstructed images are obtained.

Description

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AI Technical Summary

Benefits of technology

The present technology described by this patented technique helps improve images captured from different angles without losing sharpness or shaking up any detail that may be lost during processing. It works well even when there are noisy backgrounds like rain on grassy areas.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the quality of depth imagery captured from an object's surface without losing detail that may come through various types of processing techniques like ghost detection and shading correction.

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