Girfanova, N.A. (2010) The Review and Comparison of Methods for Image Quality Detection is Passive Autofocusing Systems. Journal of NANO and MICROSYSTEM TECHNIQUE (4).
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In the article analyzed the range of algorithms for calculation the parameter that characterizes the quality of image in passive autofocusing systems. There are: discrete wavelete transform, discrete cosine transform, one-dimensional and two-dimensional gradient. The filtration is used for several methods. To test the algorithms special videodata that represent the most difficult autofocusing situations have been used. Hardware requirements have been estimated for implementation in CMOS 0,18 micron technology. Keywords: passive autofocusing system, image sharpness
|Additional Information:||Full text is in Russian|
|Deposited By:||Prof. Alexey Ivanov|
|Deposited On:||08 Dec 2010 23:40|
|Last Modified:||09 Dec 2010 09:29|
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