Showing papers on "Motion blur published in 1989"

Least-squares multichannel filters in colour image restoration

Abstract: A method for colour image restoration is discussed. The restoration of images degraded by uniform motion blur and additive white noise is studied and least squares (Wiener) solution is used. The correlations between the components of the colour image is taken into account. The implementation of the filter is carried out in the spatial domain. The advantage of the method is the relatively small support region of the filter and its relatively low computational load. >

State-Of-The-Art in Computer Animation: Proceedings of Computer Animation '89

Abstract: I: Tutorials and Surveys- Motion Control: From Keyframe to Task-Level Animation- Artificial Intelligence, Natural Language, and Simulation for Human Animation- An Introduction to the Use of Dynamic Simulation for the Animation of Human Movement- The Problematics of Facial Animation- II: Research Papers- Simplified Control of Complex Animation- Message-Based Choreography for Computer Animation- Anthropometry for Computer Animated Human Figures- Animation Design: A Database-Oriented Animation Design Method with a Video Image Analysis Capability- Animation Control with Dynamics- Some Methods to Choreograph and Implement Motion in Computer Animation- Choreographing Goal-Oriented Motion Using Cost Functions- Four Dimensional Splines for Motion Control in Computer Animation- Polygon-Based Post-Process Motion Blur- A 3-D Error Diffusion Dither Algorithm for Half-Tone Animation on Bitmap Screens- A System for Simulating Human Facial Expression- The Making of Pencil Test- Shape Distortion in Computer-Assisted Keyframe Animation- Author Index- Keywords Index

Efficient Algorithms for Least-Squares Restoration

Abstract: This paper introduces a new algorithm for the restoration of black and white photographic images that have been distorted by linear blurs and additive noise. The algorithm is iterative and particularly efficient for one-dimensional causal distortions, such as motion blur, and one- and two-dimensional symmetric distortions, such as out-of-focus blurs. It involves solving sets of Toeplitz or block Toeplitz linear equations. The algorithm is illustrated using an example involving motion blur.