System identification at an extremely low SNR using energy density in DCT domain.
Fahmida FerdousiA. T. ConnieM. SharminM. R. KhanPublished in: IEEE Signal Process. Lett. (2005)
Keyphrases
- dct domain
- low snr
- spatial domain
- post processing
- transform domain
- dct coefficients
- compressed domain
- digital video
- human visual system
- noise model
- discrete cosine transform
- quantization step
- low signal to noise ratio
- low frequency
- video transcoding
- wavelet domain
- reference frame
- high frequency
- frequency domain
- preprocessing
- computer vision
- bitstream
- visual quality
- visual information
- low resolution
- image quality
- image compression
- feature vectors