Image restoration for small computer requirements
スポンサーリンク
概要
- 論文の詳細を見る
The problem solved in this paper is formulated as: given an observation of an noisy image against the background and given the statistics of the image and the noise, find an estimate of the image such that the computer-time and storage requirements of the estimator are modest. Two-dimensional line scanning image model is applied to get the reasonable state space equation. The resulting image restoration is performed by the scalar Kalman filter, smoother. Vector processing is also posslble to process simultaneously all rows of the image matrix.
- 山口大学の論文
著者
-
Kawazoe Yasuhiro
Department Of Information Processing Engineering Technical College Yamaguch University
-
Kawazoe Yasuhiro
Department Of Developmental Genetics Institute Of Molecular Embryology And Genetics Kumamoto Univers
関連論文
- Region-specific gastrointestinal Hox code during murine embryonal gut development
- Image restoration for small computer requirements
- Observation of the state vector of a discrete-time linear system from the actual output data
- State space model identification from actual input-output data using minimal realization algorithm
- Multi-stage iteration filter-smoother
- Computational algorithm of optimal control
- Identification of the system described as the canonical form using filtering technique