QQ客服 官方微博 反馈留言

	H.264 coding PSNR estimation method based on quantized DCT coefficients
	Sha Liang ; Wang Guijin ; Zhao Anbang ; Lin Xinggang ; Tang Kun
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical/ discrete cosine transforms Laplace equations video coding/ H.264 coding peak signal-to-noise ratio estimation algorithm source signals video quality Laplacian probability density function quantized discrete cosine transform coefficients video bit stream video coding/ B6135C Image and video coding B0220 Mathematical analysis B0230 Integral transforms C5260D Video signal processing C1130 Integral transforms C1120 Mathematical analysis
中文摘要	A peak signal-to-noise ratio (PSNR) estimation algorithm that does not use a reference source was developed to address restrictions caused by source signals in calculating the PSNR, which is a widely used index for video quality. The algorithm enables PSNR estimates based on the Laplacian probability density function of the quantized discrete cosine transform (DCT) coefficients extracted from a video bit stream. The algorithm is optimized for the video coding standard H. 264 based on its frame structure and its combination of transform and quantization, which accommodates different bit rates and frame types. Tests on various rates and motion videos give average difference of ldB between the estimated PSNR and the real PSNR for moderate bit rates.
语种	中文
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82286]
专题	清华大学
推荐引用方式 GB/T 7714	Sha Liang,Wang Guijin,Zhao Anbang,et al. H.264 coding PSNR estimation method based on quantized DCT coefficients[J],2010, 2010.
APA	Sha Liang,Wang Guijin,Zhao Anbang,Lin Xinggang,&Tang Kun.(2010).H.264 coding PSNR estimation method based on quantized DCT coefficients..
MLA	Sha Liang,et al."H.264 coding PSNR estimation method based on quantized DCT coefficients".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。