Title :
Improved results for color error reductions using neural networks and a fast training algorithm
Author :
Crilly, Paul Benjamin ; Xu, Shaofan
Author_Institution :
Electr. & Comput. Eng. Commun., Inf., & Signal Process., Tennessee Univ., Knoxville, TN, USA
fDate :
11/1/1993 12:00:00 AM
Abstract :
In a previous paper by Xu and Crilly (see ibid., vol. 39, p. 630, August 1993), neural networks were able to correct color errors in television receivers. The results showed that 70% of these errors were reduced by various amounts. This paper further investigates the use of neural networks for error reduction. A simpler network is employed in conjunction with a fast training algorithm. The new results are significantly better than previously reported. It is shown that virtually all of the color errors are significantly reduced. It also presents the details of the training algorithm
Keywords :
colour television receivers; image processing; learning (artificial intelligence); neural nets; color error reduction; error correction; fast training algorithm; neural networks; television receivers; Backpropagation algorithms; Color; Computer errors; Computer networks; Error correction; Manufacturing; Neural networks; Neurons; Signal processing algorithms; TV receivers;
Journal_Title :
Consumer Electronics, IEEE Transactions on
