Author(s)

V. Sasikala¹, N. UmaMaheswari², R. Venkatesh³

¹Department of Computer Science and Engineering, University College of Engineering Ramanathapuram, Pullangudi, Tamil Nadu, India.
²Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.
³Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India.

A new technique using fuzzy in a recursive fashion is presented to deal with the Gaussian noise. In this technique, the keyframes and between frames are identified initially and the keyframe is denoised efficiently. This frame is compared with the between frames to remove noise. To do so the frames are partitioned into blocks; the motion vector is calculated; also the difference is measured using the dissimilarity function. If the blocks have no motion vectors in the block, the block of value is copied to the between frames otherwise the difference between the blocks is calculated and this value is filtered with temporal filtering. The blocks are processed in overlapping manner to avoid the blocking effect and also to reduce the additional edges created while processing. The simulation results show that the peak signal to noise ratio of the new technique is improved up to 1 dB and also the execution time is greatly reduced.

Keyframe Restoration, Between Frame Restoration, Motion Detection

Sasikala, V. , UmaMaheswari, N. and Venkatesh, R. (2016) Fuzzy Logic Recursive Gaussian Denoising of Color Video Sequences via Shot Change Detection. Circuits and Systems, 7, 1560-1568. doi: 10.4236/cs.2016.78136.