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For example, dealing with English papers
The following are some bibliographic recommendations on genetic algorithms and image processing, some of which may be in PDF format:

Genetic Algorithm: Basic Theory and Application (English) by David Goldberger, translated by Tang Fei, etc., Machinery Industry Press, 2003. This book introduces the principle and implementation of genetic algorithms in a simple way, and their applications in various applications.

Genetic algorithm+image processing (English) by Mark Schenas, translated by Liu Yang, Electronic Industry Press, 20 14. This book combines the application of genetic algorithm and image processing, and introduces how to use genetic algorithm to solve problems in image processing.

Research on Optimal Design of Image Processing Based on Genetic Algorithm (Wang Qinglong, 2009) This is a doctoral thesis, which introduces how to use genetic algorithm to optimize the design of image processing. This paper introduces the principle and implementation of genetic algorithm in detail, and provides a large number of experimental results and data analysis.

Digital image processing (English) Gonzalez, Rafael C. and Woods, Richard E., translated by Tang Xuezhi, Electronic Industry Press, 20 10. This is a classic textbook of image processing, including the basic knowledge of image processing and common techniques, such as filtering, transformation and segmentation.

Mathematical principles of optical imaging and reconstruction (English) James R. Fienup, Beijing University of Aeronautics and Astronautics Press, 20 14. This book introduces the mathematical principles in image processing, including linear algebra, wave optics and least square method.

Digital image processing (third edition) (English) by Rafael C. Gonzalez and Richard E. Woods, translated by Ding, Machinery Industry Press, 2008. This book is a classic textbook of digital image processing, which tells the basic principles and algorithms of digital image processing.

I hope these books can help you.