Method of Removing Periodic Noise in Light Field Reconstructed Image Based on Frequency Domain

Abstract

The invention discloses a method for removing periodic noise in a light field reconstruction image based on frequency domain. The specific steps are: S1 collects the light field imaging image of the sample; S2 collects the sample-free optical center position map; S3 calibrates the imaging center of each microlens and renders and reconstructs the light field imaging image; S4 transforms the light field reconstruction image into the frequency domain , to generate the image spectrum; S5 preprocesses the image spectrum; S6 generates a low-pass filter; S7 multiplies the low-pass filter with the preprocessed image spectrum, and sets the spectral value of the low-frequency component to zero; S8 reconstructs the image for the light field The spectrum is binarized to obtain an image mask; S9 filters out the high-frequency periodic noise component in the original spectrum of the light field reconstruction image; S10 converts the filtered light field reconstruction image spectrum back to the space domain, and obtains the light field with periodic noise removed. Field reconstruction image. The invention can effectively remove periodic noise in the light field reconstruction image, eliminate splicing edge traces, and optimize the reconstruction result.

Description

technical field [0001] The invention belongs to the field of light field imaging, and in particular relates to a method for removing periodic noise in a light field reconstruction image based on a frequency domain. Background technique [0002] The emergence of light field cameras provides people with a new thinking about the mechanism of image capture. When shooting with traditional cameras, the focus position must be selected first. Once the image is captured, the focus position cannot be changed. However, in some high-speed photography scenarios, such as sports, animal photography, etc., it is of great significance to be able to achieve "shoot first and then focus". [0003] Light field cameras are implemented by adding a microlens array between the main lens and the sensor inside a conventional camera. Under the action of the microlens array, the light field camera can simultaneously capture the spatial and angular information of the light in a single exposure, that is...

AI Technical Summary

Problems solved by technology

[0005] The commonly used image denoising methods based on the spatial domain, such as mean filter, median filter, Gaussian filter, etc., have good removal effects on particle noise, Gaussian noise, salt and pepper noise, multiplicative noise, etc., but for light field The periodic noise caused by splicing edges in the reconstructed image, the above method will smooth the image noise while blurring the image, losing details, and suppressing the noise while suppressing the signal

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