Power Distortion Optimization for Uncoded Linear Transformed   Transmission of Images and Videos

doi:10.1109/TIP.2016.2621478

CORC > 北京大学 > 信息科学技术学院

	Power Distortion Optimization for Uncoded Linear Transformed Transmission of Images and Videos
	Xiong, Ruiqin ; Zhang, Jian ; Wu, Feng ; Xu, Jizheng ; Gao, Wen
刊名	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2017
关键词	Image and video transmission wireless video broadcast uncoded transmission decorrelation transform power distortion optimization signal energy modeling UNEQUAL ERROR PROTECTION WIRELESS VISUAL COMMUNICATION NOISY CHANNELS PROGRESSIVE TRANSMISSION LIMITED RETRANSMISSION RATE ALLOCATION FADING CHANNEL MOTION COMPRESSION FRAMEWORK
DOI	10.1109/TIP.2016.2621478
英文摘要	Recently, there is a resurgence of interest in uncoded transmission for wireless visual communication. While conventional coded systems suffer from cliff effect as the channel condition varies dynamically, uncoded linear-transformed transmission (ULT) provides elegant quality degradation for wide channel SNR range. ULT skips non-linear operations, such as quantization and entropy coding. Instead, it utilizes linear decorrelation transform and linear scaling power allocation to achieve optimized transmission. This paper presents a theoretical analysis for power-distortion optimization of ULT. In addition to the observation in our previous work that a decorrelation transform can bring significant performance gain, this paper reveals that exploiting the energy diversity in transformed signal is the key to achieve the full potential of decorrelation transform. In particular, we investigated the efficiency of ULT with exact or inexact signal statistics, highlighting the impact of signal energy modeling accuracy. Based on that, we further proposed two practical energy modeling schemes for ULT of visual signals. Experimental results show that the proposed schemes improve the quality of reconstructed images by 3 similar to 5 dB, while reducing the signal modeling overhead from hundreds or thousands of meta data to only a few meta data. The perceptual quality of reconstruction is significantly improved.; National Basic Research Program of China [2015CB351800]; National Natural Science Foundation of China [61370114, 61631017, 61421062]; Cooperative Medianet Innovation Center; SCI(E); ARTICLE; 1; 26
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/476524]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Xiong, Ruiqin,Zhang, Jian,Wu, Feng,et al. Power Distortion Optimization for Uncoded Linear Transformed Transmission of Images and Videos[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2017.
APA	Xiong, Ruiqin,Zhang, Jian,Wu, Feng,Xu, Jizheng,&Gao, Wen.(2017).Power Distortion Optimization for Uncoded Linear Transformed Transmission of Images and Videos.IEEE TRANSACTIONS ON IMAGE PROCESSING.
MLA	Xiong, Ruiqin,et al."Power Distortion Optimization for Uncoded Linear Transformed Transmission of Images and Videos".IEEE TRANSACTIONS ON IMAGE PROCESSING (2017).