No-reference image quality assessment based on DCT domain statistics
Signal Processing
Cost-effective triple-mode reconfigurable pipeline FFT/IFFT/2-D DCT processor
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Fast inter-mode decision in an H.264/AVC encoder using mode and Lagrangian cost correlation
IEEE Transactions on Circuits and Systems for Video Technology
No-reference video quality monitoring for H.264/AVC coded video
IEEE Transactions on Multimedia
MPEG2 video parameter and no reference PSNR estimation
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Video outage detection: algorithm and evaluation
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
No-reference analysis of decoded MPEG images for PSNR estimation and post-processing
Journal of Visual Communication and Image Representation
A (2, 2) secret sharing scheme based on hamming code and AMBTC
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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A new method of estimating coding peak signal-to-noise ratio (PSNR) without the use of reference signals is presented. Although PSNR is commonly used as a measure of the picture degradation of digitally coded video, the calculation requires source signals as a reference.Therefore, the usage of PSNR is restricted to particular applications or systems. The proposed method enables PSNR estimation based on the probability density functions of quantized discrete cosine transform (DCT) coefficients extracted from an MPEG-2 bit stream. We experimented with MPEG-2 video coding bit streams under varying quantization scheme and evaluate a new method with comparing estimated PSNRs with actual PSNRs. Experimental results indicate that the determination coefficients are higher than 0.9 This method can apply to both SDTV and HDTV, and can evaluate PSNR of every frame coded by different picture types.