报告人：贾志刚 江苏师范大学教授

报告时间：10月29日14:30

报告地点：腾讯ID：793 134 923

主办单位：数学与统计学院

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  报告摘要：Color image restoration is one of the important tasks in color image processing. Total variationregularizaton was proposed and employed for the recovery of edges in a grayscale image. In theliterature, there are several methods for extension of total variation regularization for color images,for example, based on color channel coupling and tensor regularization. The main contribution of this talk is to propose and develop a new saturation-value (SV) color total variation regularization inthe hue, saturation, amd value color space instead of in the original red, green, and blue color space.The development of this SV total variation can be studied via the representation of color images inthe quaternion framework for color edge detection. We will investigate the properties of the SV totalvariation regularization and the resulting optimization model for color image restoration. Numericalexamples are presented to demonstrate that the performance of the new SV total variation is betterthan that of existing color image total variation methods in terms of some criteria such as PSNR,SSIM, and S-CIELAB error.

  贾志刚，江苏师范大学教授、硕士生导师。2009年毕业于华东师范大学数学系，获理学博士学位。主要研究方向为数值代数与图像处理，至今已在SIAM J. Matrix Anal. Appl., SIAM J. Sci. Comput.,SIAM J. Imaging Sci., J. Sci. Comput., Numer. Linear Algebra Appl.等国际知名期刊上发表学术论文40余篇，在科学出版社出版专著和译著各1部，主持国家自然科学基金项目3项、省高校自然科学研究重大项目1项，参加国家自然科学基金重大项目1项。先后入选江苏师范大学“第一批高层次人才队伍后备人选”、“三育人先进个人”、“校先进工作者”等。曾先后到英国曼彻斯特大学、香港浸会大学、澳门大学等高校数学系进行学术访问。现兼职为中国高等教育学会教育数学专业委员会常务理事、江苏省计算数学学会理事、美国Math Review评论员等，同时为SIMAX，SISC, SSIMS, Inverse Problem，Automatic，JCAM, IEEE TSP，Signal Processing等学术期刊的审稿人。