๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Image restoration by averaged projection filter

โœ Scribed by Yukihiko Yamashita; Hidemitsu Ogawa


Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
806 KB
Volume
23
Category
Article
ISSN
0882-1666

No coin nor oath required. For personal study only.

โœฆ Synopsis


Abstract

A restoration filter called the averaged projection filter (APF) is proposed for the linear degradation model. The proposed filter selects the image with the least deviation of noise component from among those minimizing the image component of the restored image in the averaged sense with respect to a set of original images. With the plain projection filter, the frequency of occurrence of images is ignored. In the averaged projection filter, the restoration quality of images occurring more frequently is improved at the expense of those occurring less frequently. A general form of the filter is obtained by using functional analysis. Some experimental results are illustrated which show the advantages of the proposed filter over the projection filter and the Wiener filter.


๐Ÿ“œ SIMILAR VOLUMES


Properties of averaged projection filter
โœ Yukihiko Yamashita; Hidemitsu Ogawa ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 731 KB

## Abstract The averaged projection filter (APF) is an optimal restoration filter proposed by the present authors in another paper. Here, properties of the APF are discussed in detail. For example, the image component of the restored image with the APF coincides with the original image if the origi

Image restoration by using multiple Wien
โœ Ryohei Nishimiya; Akira Taguchi ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 934 KB

## Abstract We propose a method that uses multiple Wiener filters based on region decomposition to restore natural images degraded by Gaussian noise. Usually, a Wiener filter is designed to be optimal for the entire image. However, because natural images are highly nonstationary, an effective metho

An Iterative Projection Technique for Bl
โœ Shyh-Shiaw Kuo; Richard J. Mammone ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 642 KB

A new iterative algorithm is presented for restoring noisy blurred images where the point spread function (PSF) is unknown. The method initially estimates the PSF and the original image using the Expectation Maximization (EM) method. The resulting image estimate is then refined by using the adaptive