A perceptual PSNR based on the utilization of a linear model of HVS, motion vectors and DFT-3D.
M. CamminaRosa LanciniM. MarconiPublished in: EUSIPCO (2000)
Keyphrases
- linear model
- motion vectors
- bit rate
- human visual system
- visual quality
- image quality
- perceptual quality
- video coding
- rate distortion
- peak signal to noise ratio
- human perception
- motion compensation
- macroblock
- least squares
- subband
- reconstructed image
- low bit rate
- video quality
- frequency domain
- bitstream
- regression model
- coding efficiency
- block matching
- reference frame
- motion field
- inter frame
- computational complexity
- compressed domain
- quality assessment
- block size
- error concealment
- prediction error
- rate control
- image quality assessment
- compressed images
- motion estimation algorithm
- image quality metrics
- nonlinear models
- dct domain
- search range
- video compression
- error propagation
- frame interpolation
- quality metrics
- image data
- video sequences
- block matching algorithm
- motion compensated
- frame rate
- spatial domain
- compression ratio
- model selection
- motion estimation
- high quality