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Cover Letter
Dear Editors,
We would like to submit the enclosed manuscript entitled "Joint Image Denoising Using Adaptive
Principal Component Analysis and Self-similarity", which we wish to be considered for publication in
"Information Sciences". No conflict of interest exits in the submission of this manuscript, and
manuscript is approved by all authors for publication. I would like to declare on behalf of my
co-authors that the work described was original research that has not been published previously, and
not under consideration for publication elsewhere, in whole or in part. All the authors listed have
approved the manuscript that is enclosed. In this paper, we propose an efficient joint denoising
algorithm based on adaptive principal component analysis and self-similarity (APCAS) that improves
the predictability of pixel intensities in reconstructed images. The proposed algorithm consists of two
successive steps: the joint denoising strategy without iteration, the self-similarity based image patch
clustering and parallel analysis based adaptive principal component analysis for the low-rank
approximation. The experimental results validate its generality and effectiveness in a wide range of
the noisy images. The proposed algorithm not only produces very promising denoising results that
outperforms the state-of-the-art methods, but also adapts to a variety of noise levels. The medical
images, and the images or videos in surveillance, traffic and remote sensing systems will benefit from
our proposed methods.
I hope this paper is suitable for "Information Sciences". The following is a list of possible reviewers
for your consideration:
1) Wenxuan Shi, E-mail: shiwx@163.com ;
2) Hai-Bo Huang, E-mail: huang7855@163.com ;
3) Yong-An Liu, E-mail: liuan86@126.com.
We deeply appreciate your consideration of our manuscript, and we look forward to receiving
comments from the reviewers. If you have any queries, please don’t hesitate to contact me at the
address below.
Thank you and best regards.
Yours sincerely,
Yong-Qin Zhang
Corresponding author: Yong-Qin Zhang
Institute of Computer Science & Technology, Peking University
Address: No.128 Zhongguancun North Road, Haidian District, Beijing, P.R. China
Tel: +86-10-82529641 Postcode: 100080
E-mail: zhangyongqin@pku.edu.cn ; zyqwhu@gmail.com