»ã±¨±êÌâ (Title)£ºSaturation-Value Total Variation and Applications£¨¹ÄºÍ¶ÈÈ«±ä·ÖºÍÀûÓã©

»ã±¨ÈË (Speaker)£º Íõΰ ¸±½ÌÊÚ£¨Í¬¼Ã´óѧ£©

»ã±¨¹¦·ò (Time)£º2023Äê11ÔÂ13ÈÕ(ÖÜÒ») 13:00

»ã±¨µØÖ· (Place)£ºÐ£±¾²¿ F420

Ô¼ÇëÈË(Inviter)£ºÅíÑÇР½ÌÊÚ

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»ã±¨ÌáÒª£ºColor image restoration is one of the important tasks in color image processing. Total variation regularization was proposed and employed for the recovery of edges in a grayscale image. In the literature, there are several methods for extension of total variation regularization for color images, for example, based on color channel coupling and tensor regularization. In this talk, I will introduce a new saturation-value (SV) color total variation regularization in the hue, saturation, and 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 in the quaternion framework. I will introduce the properties of the SV total variation regularization and the resulting optimization models for color image processing.