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National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Odstranění rozmazání pomocí dvou snímků s různou délkou expozice
 Sabo, Jozef ; Šroubek, Filip (advisor) ; Horáček, Jan (referee)
In the presented work we study the methods of image deblurring using two images of the same scene with different exposure times, focusing on two main approach categories, so called deconvolution and non-deconvolution methods. We present theoretical backgrounds on both categories and evaluate their limitations and advantages. We dedicate one section to compare both method categories on test data (images) for which we our MATLAB implementation of the methods. We also compare the effectiveness of said methods against the results of a selected single-image de-noising algorithm. We do not focus at computational efficiency of algorithms and work with single-channel images only.
Detailed record
Využití zemědělského půdního fondu v katastrálním území Dlouhá
 Kvíčalová, Zuzana
The Bachelor thesis is focused on the use of agricultural land in the cadastral area Dlouhá. This work is divided into two major parts. The first part defines the basic concepts and characteristics of the agricultural land resources and soil. The largest part in the first section forms a description of the development of real estate records. The second part deals with the characteristic of the cadastral area Dlouhá and describes the structure of the local land resources from 1845 to the present. At the end of the second part is indicated a summary of changes in land use. There are also described applied measures for protection of agricultural land.
Detailed record
Odstranění rozmazání pomocí dvou snímků s různou délkou expozice
 Sabo, Jozef ; Šroubek, Filip (advisor) ; Horáček, Jan (referee)
In the presented work we study the methods of image deblurring using two images of the same scene with different exposure times, focusing on two main approach categories, so called deconvolution and non-deconvolution methods. We present theoretical backgrounds on both categories and evaluate their limitations and advantages. We dedicate one section to compare both method categories on test data (images) for which we our MATLAB implementation of the methods. We also compare the effectiveness of said methods against the results of a selected single-image de-noising algorithm. We do not focus at computational efficiency of algorithms and work with single-channel images only.
Detailed record

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