No reference video quality estimation based on human visual system for 2.5/36 devices

被引:10
作者
Massidda, F [1 ]
Giusto, DD [1 ]
Perra, C [1 ]
机构
[1] Univ Cagliari, Dept Elect & Elect Engn, I-09123 Cagliari, Italy
来源
HUMAN VISION AND ELECTRONIC IMAGING X | 2005年 / 5666卷
关键词
visual quality assessment; no-reference; human visual system;
D O I
10.1117/12.594032
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
2.5/3G devices should achieve satisfactory QoS, overcoming mobile standards drawbacks. In-service/blind quality monitoring is essential in order to improve perceptual quality according to Human Visual System. Several techniques have been proposed for image/video quality assessment. A novel no-reference quality index which uses an effective HVS model is proposed. Luminance masking, Contrast Sensitivity Function and temporal masking are taken into account with fast in-service algorithms. The proposed index is able to assess blockiness distortion with a fast image-domain measure. Compression/post-processing blurring effects are measured with a standard approach. Moving artifacts distortion is evaluated taking into account standard deviation with respect to a natural image statistical model. Several distortion effects, in wireless noisy channels with low video-streaming/playback bit rates (e.g. edge busyness and image persistence) are evaluated. A multi-level pooling algorithm (block, temporal-window, frame, and sequence levels) is used. Validation tests have been developed in order to assess index performance and computational complexity. The final measure provides human-like threshold-effect and high correlation with subjective data. Low complexity algorithms can be derived for real-time, HVS-based, QoS management for low-power consumer devices. Different distortion effects (e.g. ringing and jerkiness) can be easily included.
引用
收藏
页码:168 / 179
页数:12
相关论文
共 49 条
[11]   Perceptual quality metrics applied to still image compression [J].
Eckert, MP ;
Bradley, AP .
SIGNAL PROCESSING, 1998, 70 (03) :177-200
[12]   Image quality measures and their performance [J].
Eskicioglu, AM ;
Fisher, PS .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1995, 43 (12) :2959-2965
[13]  
Eskicioglu AM, 2000, INT CONF ACOUST SPEE, P1907, DOI 10.1109/ICASSP.2000.859201
[14]  
EUDE T, 1998, P 4 INT C SIGN PROC, V1, P779
[15]  
Fechner G. T., 1966, Elements of psychophysics, V1
[16]  
FENIMORE C, 2000, P SPIE C HUM VIS EL
[17]   EXPERIMENTAL EVALUATION OF PSYCHOPHYSICAL DISTORTION METRICS FOR JPEG-ENCODED IMAGES [J].
FUHRMANN, DR ;
BARO, JA ;
COX, JR .
JOURNAL OF ELECTRONIC IMAGING, 1995, 4 (04) :397-406
[18]  
GIUSTO DD, 1997, IEEE PACRIM97 0820
[19]   Adaptive image coding with perceptual distortion control [J].
Höntsch, I ;
Karam, LJ .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2002, 11 (03) :213-222
[20]  
HOSAKA K, 1986, P INT PICT COD S TOK, P17