Abstract
Compressed Sensing with Generalized Hebbian Algorithm (GHA) in Video Frame Prediction is proposed in the paper. After analyzing the inter-frame correlation among the images of video sequences, GHA, as neural network algorithm of PCA, is adopted to remove the transform coefficients with lower value according in order to implement video compressed sensing. Furthermore, for statistics of the adjacent frames are similar enough, the algorithm processes superiority in video frame prediction. Simulation results show that, the proposed algorithm can not only improve the reconstructed quality and the visual effects of the video sequence, but also save the sampling resources. Moreover, video frames can be predicted capitally through the application of the algorithm.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
