Optical image denoising method based on serial connection of curvelet transform and wavelet transform

Abstract

The invention relates to an optical image denoising method based on serial connection of curvelet transform and wavelet transform. The method comprises the steps of 1, selecting a wave band, with noise, of optical data as an image to be processed; 2, carrying out forward Curvelet transform on the image to be processed to obtain multi-scale and multi-direction Curvelet transform coefficients; step 3, with noisy data in the Curvelet transform coefficients to be removed through wavelet transform, carrying out wavelet transform denoising and then carrying out reverse wavelet transform to obtain denoised Curvelet coefficients; 4, carrying out reverse Curvelet transform on the denoised Curvelet coefficients to obtain a denoised reconstructed image. Compared with single curvelet transform or single wavelet transform, the image denoised through the method has a higher peak signal-to-noise ratio and a better visual effect, the stripe noise of the optical image is removed, detail information of the image is well reserved, and the quality of the image is improved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an optical image denoising method based on the series connection of curvelet and wavelet transform. Background technique [0002] Optical remote sensing images are usually polluted by noise during the acquisition and transmission process, which is not conducive to the accurate identification of image targets. Therefore, it is necessary to study the denoising technology of hyperspectral images. Traditional image noise removal or suppression methods can be divided into frequency domain filtering methods and spatial domain smoothing methods, the disadvantage of which is that a large amount of image information is lost. Wavelet transform is widely used in one-dimensional signal and two-dimensional signal denoising because of its ability to analyze signals in time and frequency domains, such as translation invariant wavelet denoising, matching pursuit denoising based on projection prin...

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Problems solved by technology

[0008] The purpose of the present invention is to provide a kind of optical image denoising method based on curvelet and wavelet transform connected in series, to solve the shortcomings of using curvelet transform and wavelet transform alone in the prior art to denoise, and give full play to the advantages of both when used in series. respective advantages

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