标题： 通过大气湍流的计算成像 显示英文标题

标题： Computational Imaging Through Atmospheric Turbulence

摘要： 自二十世纪 40 年代初安德雷·柯尔莫哥洛夫开创性的工作以来，大气湍流成像已经从纯粹的科学研究发展成为民用、太空任务和国家安全等多个领域的重要课题。 近年来深度学习的进步推动了该领域的进一步发展。 然而，为了使这些深度学习方法表现良好，需要新的努力来构建更快、更准确的计算模型，同时最大化图像重建的性能。 本书主要面向有兴趣于大气湍流、统计光学和图像处理领域的图像处理工程师、计算机视觉科学家以及工程专业的学生。 本书可以作为研究生教材，也可以作为本科生的高级专题课程材料。 显示英文摘要

摘要： Since the seminal work of Andrey Kolmogorov in the early 1940's, imaging through atmospheric turbulence has grown from a pure scientific pursuit to an important subject across a multitude of civilian, space-mission, and national security applications. Fueled by the recent advancement of deep learning, the field is further experiencing a new wave of momentum. However, for these deep learning methods to perform well, new efforts are needed to build faster and more accurate computational models while at the same time maximizing the performance of image reconstruction. The book is written primarily for image processing engineers, computer vision scientists, and engineering students who are interested in the field of atmospheric turbulence, statistical optics, and image processing. The book can be used as a graduate text, or advanced topic classes for undergraduates.