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Post-filtering of DCT Coded Images Using Fuzzy Blockiness Detector and Linear Interpolation
Hak-Choong Kim,Urhan, O.,Tae-Gyu Chang IEEE 2007 IEEE transactions on consumer electronics Vol.53 No.3
<P>Post-filtering is an effective tool for improvement of encoded image and video quality at low bit-rates. Some consumer electronics devices such as mobile phones apply excessive compression to meet limited bandwidth requirements. Thus, some annoying visual artifacts occur in the decoded image/video. This paper presents a deblocking method based on fuzzy logic to alleviate one of the most common visual artifacts (i.e. blocking) encountered in heavily compressed images. The proposed approach takes intensity difference and variance of pixels at the block boundaries into account in a fuzzy manner to decide amount of blocking effect. Once the proposed approach decides the type of the blockiness, a simple interpolation according to the strength is carried out. Experimental results show the effectiveness of the proposed approach.</P>
Hierarchical Order Statistics Filtering for Fast Bi-Dimensional Empirical Mode Decomposition
Serkan Semiz,Anil Celebi,Oguzhan Urhan 한국전자통신연구원 2016 ETRI Journal Vol.38 No.4
A hierarchical approach for fast bi-dimensional empirical mode decomposition (B-EMD) is proposed. The presented approach utilizes an efficient window size determination scheme that enables the multi-level computation of the order statistics filter (OSF). Our detailed experiments show that the proposed OSF computation approach allows a significantly faster computation of an EMD without degrading the decomposition accuracy.