Title : 
Adaptive Repair of Compressed Video Signals using Local Objective Metrics of Blocking Artifacts
         
        
            Author : 
Kirenko, Ihor O. ; Shao, Ling
         
        
            Author_Institution : 
Philips Res. Lab., Eindhoven
         
        
        
        
            fDate : 
Sept. 16 2007-Oct. 19 2007
         
        
            Abstract : 
The paper presents a new objective metrics of blocking artifacts visibility in MPEG compressed video sequences. The metric estimates a local visibility of the block grid by analyzing the discontinuity of a pixel intensity trend across the block edge and by comparing it against pixel activities within blocks. Application of the local blockiness metrics for adaptive control of low-pass filtering provides significant reduction of coding artifacts without blurring of image details. The results of our experiments show the high efficiency of the proposed approach.
         
        
            Keywords : 
data compression; decoding; low-pass filters; sequences; video coding; MPEG compressed video sequences; MPEG decoded sequences; adaptive control; blocking artifact visibility; compressed video signal adaptive repair; local blockiness metrics; local objective metrics; low-pass filtering; pixel intensity discontinuity analysis; Adaptive control; Adaptive filters; Filtering; Image coding; Laboratories; Low pass filters; Pixel; Transform coding; Video compression; Video sequences; compression; image enhancement; quality metric;
         
        
        
        
            Conference_Titel : 
Image Processing, 2007. ICIP 2007. IEEE International Conference on
         
        
            Conference_Location : 
San Antonio, TX
         
        
        
            Print_ISBN : 
978-1-4244-1437-6
         
        
            Electronic_ISBN : 
1522-4880
         
        
        
            DOI : 
10.1109/ICIP.2007.4380037