Local Oscillation Suppression Based on Joint Bilateral Filtering Framework

彬彬

1 Introduction

Image details are mainly composed of edges and textures. From

the view of pixel intensity or gradient magnitude, both edges and

textures are the drastic variances among the pixels of local image

regions. However, because of the similarity of textures, they usu-

ally feature some regular local oscillations [Subr et al. 2009]. It

makes great sense to distinguishes edges and textures exactly for

many image applications, e.g. detail manipulation. But the current

major bilateral-based [Paris and Durand 2009] and optimization-

based [Farbman et al. 2008] approaches usually emphasize more on

edge-preserving, incompletely preserving some textures instead of

smoothing. These results will produce serious interferences in both

edge preservation and texture extraction. On the basis of the joint

bilateral filtering framework, we take advantage of our degenerative

image to suppress the local oscillations and produce better output

with dual properties of edge-preserving and texture-smoothing, see

Figure 1(e).

菜刀吻电线

很经典，很实用，学习了!

C.R.CAN

不错不错，收藏了

C.R.CAN

我看看就走，你们聊！

tc

我看看就走，你们聊！

奇

顶!学习了!阅!

奇

都闪开，介个帖子，偶来顶

奇

真不错,全存下来了.