Complex method of image restoration for compressed optical information quality improvement

Alexander A. Telyatnikov

doi:10.1117/12.295662

1 December 1997 Complex method of image restoration for compressed optical information quality improvement

Alexander A. Telyatnikov

Proceedings Volume 3317, International Conference on Correlation Optics; (1997) https://doi.org/10.1117/12.295662
Event: International Conference on Correlation Optics, 1997, Chernivsti, Ukraine

Abstract

With physics and astronomy development the distorted as a result of information loose during compression or as a result of noise, low intensity distribution of light sources, the necessity of image restoration arise. Proposed in this paper method of digital information processing allows to provide the complex image restoration. The contrast between different parts of image as well as image's and its borders sharpness are improved by the proposed method application. Besides, resultant image can be enlarged without any limitation and, in spite of this enlargement, without any distortions of objects borders caused by discreteness of initial one. Smooth changes of color gradations are kept as in initial image during enlargement. In current paper some examples of images, received after Karhunen-Loeve compression and some kinds of astronomy optical information were processed by means of the method proposed. The method describe in current paper can be applied for improving of compressed images after restoration, which arises in different kinds of physics investigations such as intensity interferometry, optical astronomy, etc. Besides, by means of the method proposed the noise filtration of image and its sharpness increasing after transferring through the optical connection lines can be fulfilled.

Citation Download Citation

Alexander A. Telyatnikov "Complex method of image restoration for compressed optical information quality improvement", Proc. SPIE 3317, International Conference on Correlation Optics, (1 December 1997); https://doi.org/10.1117/12.295662

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