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Jan Weingarten - One of the best experts on this subject based on the ideXlab platform.

Gerrit De Boer - One of the best experts on this subject based on the ideXlab platform.

Sascha Steinkogler - One of the best experts on this subject based on the ideXlab platform.

Staněk Jan - One of the best experts on this subject based on the ideXlab platform.

  • FPGA Based Image Acquisition Module
    Czech Technical University in Prague. Computing and Information Centre., 2015
    Co-Authors: Staněk Jan
    Abstract:

    Cílem této práce je navrhnout a realizovat modul pro rychlé zpracování obrazu z CMOS snímače s využitím prostředků hradlových polí Xilinx řady Spartan 3. Práce začíná realizací přenosu obrazových dat do PC skrze EZ-USB periferii v mikropočítači Cypress a jejich zobrazením, pak pokračuje návrhem algoritmu pro zpracování obrazu a jeho implementací do hradlového pole. Dále byla řešena aplikace pro nadřazené PC v jazyce C# a autonomní start modulu. V jazyce VHDL je navržen a realizován algoritmus určování objektů založený na metodách labelingu s minimalizací nároků na potřebnou paměť a počet taktů hodinového signálu. Závěrem prací bylo využito 8051 kompatibilního jádra EZ-USB mikropočítače ke čtení souborového systému FAT z vyměnitelného úložiště formátu Secure Digital a inicializaci modulu z uložených souborů.Aim of this thesis is to develop and implement module to fast Image data processing using Xilinx Spartan 3 FPGA resources. Task started with transferring and Displaying Image data in PC using EZ-USB peripheral controller Cypress, then continues with designing Image processing algorithm and its adjustment to FPGA logic. The next part is solving PC application in C# language and dealing with autonomous module startup. In VHDL is designed and implemented labeling-based algorithm optimized to memory usage and processing speed. Task is finished by programming 8051 compatible core in EZ-USB controller to read FAT filesystem in Secure Digital memory card and to boot entire module from stored configuration files

Andre Kaup - One of the best experts on this subject based on the ideXlab platform.

  • Resampling Images to a Regular Grid From a Non-Regular Subset of Pixel Positions Using Frequency Selective Reconstruction
    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 2015
    Co-Authors: Jurgen Seiler, Markus Jonscher, Michael Schöberl, Andre Kaup
    Abstract:

    Even though Image signals are typically defined on a regular 2D grid, there also exist many scenarios where this is not the case and the amplitude of the Image signal only is available for a non-regular subset of pixel positions. In such a case, a resampling of the Image to a regular grid has to be carried out. This is necessary since almost all algorithms and technologies for processing, transmitting or Displaying Image signals rely on the samples being available on a regular grid. Thus, it is of great importance to reconstruct the Image on this regular grid, so that the reconstruction comes closest to the case that the signal has been originally acquired on the regular grid. In this paper, Frequency Selective Reconstruction is introduced for solving this challenging task. This algorithm reconstructs Image signals by exploiting the property that small areas of Images can be represented sparsely in the Fourier domain. By further considering the basic properties of the optical transfer function of imaging systems, a sparse model of the signal is iteratively generated. In doing so, the proposed algorithm is able to achieve a very high reconstruction quality, in terms of peak signal-to-noise ratio (PSNR) and structural similarity measure as well as in terms of visual quality. The simulation results show that the proposed algorithm is able to outperform state-of-the-art reconstruction algorithms and gains of more than 1 dB PSNR are possible.