DSpace at University of Tartu

Search interfaces such as BASE and DART-Europe provide integrated access to millions records worldwide. The availability of this content to local and global audiences, is possible thanks to the OAI-PMH interface and Google Scholar optimizations. DSpace issues permanent urls and trustworthy identifiers, including optional integrations with handle.net and DataCite DOI. Located at University of Tartu Library.
 

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Recent Submissions

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Põllumajanduse kollektiviseerimine Virumaal (1944-1950)
(Tartu Riiklik Ülikool, 1961) Keer, Richard; Lõhmus, Marta, juhendaja; Tartu Ülikool. Humanitaarteaduste ja kunstide valdkond; Tartu Ülikool. Ajaloo ja arheoloogia instituut
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Riigi Kunsttööstuskool 1914-1940
(Tartu Riiklik Ülikool, 1982) Joonsalu, Mare; Kirme, Kaalu, juhendaja; Tartu Ülikool. Humanitaarteaduste ja kunstide valdkond; Tartu Ülikool. Ajaloo ja arheoloogia instituut
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Argentiina külma sõja algusaastatel: Juan Perón'i juhitud riik USA mõjusfääris
(Tartu Ülikool, 2011) Järvpõld, Kadri; Lokk, Reigo, juhendaja; Tartu Ülikool. Humanitaarteaduste ja kunstide valdkond; Tartu Ülikool. Ajaloo ja arheoloogia instituut
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Tartu üliõpilaskonna Edustuse rahvusvahelistest suhetest: 1923-1928
(Tartu Ülikool, 2011) Jaksi, Grete; Tamul, Sirje, juhendaja; Tartu Ülikool. Humanitaarteaduste ja kunstide valdkond; Tartu Ülikool. Ajaloo ja arheoloogia instituut
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Rahvastiku liikumine Lääne-Saaremaal 18. sajandi lõpust 19. sajandi keskpaigani
(Tartu Riiklik Ülikool, 1987) Grass, Geidi; Ligi, Herbert, juhendaja; Tartu Ülikool. Humanitaarteaduste ja kunstide valdkond; Tartu Ülikool. Ajaloo ja arheoloogia instituut
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Valge-emigrantliku noorteorganisatsiooni Vene Rahvus Tööühenduse tegevus Eestis aastatel 1930-1940
(Tartu Ülikool, 2011) Gljakova, Irina; Rahi-Tamm, Aigi, juhendaja; Tartu Ülikool. Humanitaarteaduste ja kunstide valdkond; Tartu Ülikool. Ajaloo ja arheoloogia instituut
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Таллиннское Высшее Военно-Политическое Строительное Училище (1980-1990)
(Tartu Ülikool, 1990) Demjantšenko, Konstantin; Eringson, Linda, juhendaja; Tartu Ülikool. Humanitaarteaduste ja kunstide valdkond; Tartu Ülikool. Ajaloo ja arheoloogia instituut
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Incoherent nonlinear deconvolution using an iterative algorithm for recovering limited-support images from blurred digital photographs
(2024) Rosen, Joseph; Anand, Vijayakumar
Recovering original images from blurred images is a challenging task. We propose a new deconvolution method termed incoherent nonlinear deconvolution using an iterative algorithm (INDIA). Two inputs are introduced into the algorithm: one is a random or engineered point spread function of the scattering system, and the other is a blurred or distorted image of some object produced from this system. The two functions are Fourier transformed, and their phase distributions are processed independently of their magnitude. The algorithm yields the image of the original object with reduced blurring effects. The results of the new method are compared to two linear and two nonlinear algorithms under various types of blurs. The root mean square error and structural similarity between the original and recovered images are chosen as the comparison criteria between the five different algorithms. The simulation and experimental results confirm the superior performance of INDIA compared to the other tested deblurring methods.
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Optimizing the temporal and spatial resolutions and light throughput of Fresnel incoherent correlation holography in the framework of coded aperture imaging
(2024) Arockiaraj, Francis Gracy; Xavier, Agnes Pristy Ignatius; Gopinath, Shivasubramanian; Rajeswary, Aravind Simon John Francis; Juodkazis, Saulius; Anand, Vijayakumar
Fresnel incoherent correlation holography (FINCH) is a well-established digital holography technique for 3D imaging of objects illuminated by spatially incoherent light. FINCH has a higher lateral resolution of 1.5 times that of direct imaging systems with the same numerical aperture. However, the other imaging characteristics of FINCH, such as axial resolution, temporal resolution, light throughput, and signal-to-noise ratio (SNR), are lower than those of direct imaging systems. Different techniques were developed by researchers around the world to improve the imaging characteristics of FINCH while retaining the inherent higher lateral resolution of FINCH. However, most of the solutions developed to improve FINCH presented additional challenges. In this study, we optimized FINCH in the framework of coded aperture imaging. Two recently developed computational methods, such as transport of amplitude into phase based on the Gerchberg Saxton algorithm and Lucy–Richardson–Rosen algorithm, were applied to improve light throughput and image reconstruction, respectively. The above implementation improved the axial resolution, temporal resolution, and SNR of FINCH and moved them closer to those of direct imaging while retaining the high lateral resolution. A point spread function (PSF) engineering technique has been implemented to prevent the low lateral resolution problem associated with the PSF recorded using pinholes with a large diameter. We believe that the above developments are beyond the state-of-the-art of existing FINCH-scopes.