Arşiv ve Dokümantasyon Merkezi
Dijital Arşivi

Comparison of single and multi frame super resolution reconstruction algorithms with analytical interpolation methods

Basit öğe kaydını göster

dc.contributor Graduate Program in Electrical and Electronic Engineering.
dc.contributor.advisor Sankur, Bülent.
dc.contributor.author Özdemir, Hüseyin.
dc.date.accessioned 2023-03-16T10:17:16Z
dc.date.available 2023-03-16T10:17:16Z
dc.date.issued 2009.
dc.identifier.other EE 2009 O83
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12733
dc.description.abstract Generating high resolution image (or image sequence) from low resolution image (or image sequence) has various applications such as image expansion, printing and conversion between different resolution formats. There is a huge amount of study on HR image reconstruction problem in the literature. These methods can be broadly divided into two main classes: analytical reconstruction techniques and super resolution reconstruction techniques. In the former case, reconstruction is established using an interpolation kernel. The original LR image is convolved with interpolation kernel to obtain the continuous data. Then continuous signal is sampled again according to the desired resolution. On the other hand, in SR reconstruction, the idea is to fuse different samples obtained at different time instants from the same object by a single camera. SR reconstruction can be posed in another way. HR image can be reconstructed by combining different samples obtained at the same time instant from the same object by multiple cameras. There should be sub-pixel shifts between sampling locations to make the reconstruction possible. In this M.S. Thesis, subjective and objective comparison of 5 different analytical interpolation methods and 2 super resolution image reconstruction methods is given. An adaptive filtering approach least mean squares (LMS) filtering and robust super resolution are used for super resolution image reconstruction. SR methods are compared with bicubic interpolation, wavelet based interpolation, edge adaptive interpolation, interpolation using wide sense Markov random fields and interpolation using exponential based kernels. All seven methods are tested on different videos and frames. PSNR and SSIM measurements are given. Also, subjective tests are conducted on the experimental results.
dc.format.extent 30cm.
dc.publisher Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009.
dc.subject.lcsh Image reconstruction.
dc.title Comparison of single and multi frame super resolution reconstruction algorithms with analytical interpolation methods
dc.format.pages xiv, 88 leaves;


Bu öğenin dosyaları

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster

Dijital Arşivde Ara


Göz at

Hesabım