Title :
Analog and leaky predictive transform image coding for noisy channels: further results
Author_Institution :
Coll. of Staten Island, City Univ. of New York, NY, USA
Abstract :
Results are reported for a minimum mean squared error (MSE) analog predictive transform (APT) channel and source integrated (CSI) coding formulation. A novel refined CSI coding formulation is provided; it has a structure similar to that of a minimum MSE predictive transform (PT) estimator. This formulation assumes that the communication channel consists of zero mean additive white noise, that the information source is modeled using a whitening PT model of the Kalman type, and that the CSI encoder is linear and encodes the data using a strip processing structure. The technique is illustrated with real-world monochrome images and found to yield satisfactory results
Keywords :
Kalman filters; filtering and prediction theory; image coding; linear predictive coding; random noise; transforms; analog predictive transform; communication channel; leaky predictive transform image coding; minimum mean squared error; noisy channels; predictive transform estimator; real-world monochrome images; strip processing structure; zero mean additive white noise; Additive white noise; Communication channels; Decoding; Image coding; Kalman filters; Predictive models; Random sequences; Strips; Technological innovation; White noise;
Conference_Titel :
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0652-X
DOI :
10.1109/NAECON.1992.220651
