An image denoising method based on improved wavelet threshold and threshold function is presented

Haonan Sun; Siyuan Wu; Runzhong Miao; Qiong Zhang; Kaixin Wu

doi:10.1117/12.2685751

15 August 2023 An image denoising method based on improved wavelet threshold and threshold function is presented

Haonan Sun, Siyuan Wu, Runzhong Miao, Qiong Zhang, Kaixin Wu

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 127191R (2023) https://doi.org/10.1117/12.2685751
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

In order to remove noise effectively, a new wavelet threshold denoising algorithm is constructed on the basis of traditional wavelet theory. First of all, select appropriate wavelet basis function and and decomposition level, and then appropriate threshold function and threshold value are selected for threshold processing. At last, the denoised image is derived by reassembling both the low-frequency and high-frequency components. The adjustment parameter is introduced into the threshold function to make it flexible in denoising. Through Matlab simulation, the evaluation index results of several denoising algorithms are compared. The experimental results show that the subjective visual effect and objective evaluation index of this algorithm is obviously better than other algorithms, and it has a certain level of practicality.

Citation Download Citation

Haonan Sun, Siyuan Wu, Runzhong Miao, Qiong Zhang, and Kaixin Wu "An image denoising method based on improved wavelet threshold and threshold function is presented", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 127191R (15 August 2023); https://doi.org/10.1117/12.2685751

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