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Browsing Department of Electrical and Electronic Engineering by Subject

Browsing Department of Electrical and Electronic Engineering by Subject "dictionary learning"

Now showing items 1-5 of 5

Image Denoising via Correlation Based Sparse Representation and Dictionary Learning

Baloch, Gulsher Lund (Eastern Mediterranean University EMU - Doğu Akdeniz Üniversitesi (DAÜ), 2018-01)

Error-based Orthogonal Matching Pursuit (OMPe) employed in many image denoising algorithms (e.g., K-means Singular Value Decomposition (K-SVD) algorithm) tries to reconstruct the clean image patch by projecting the ...
Single Image Super-Resolution Based on Sparse Representation Via Structurally Directional Dictionaries in Wavelet Domain

Abar, Elham (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2014-01)

The main aim of super-resolution is reconstructing a higher resolution image by combining a set of lower resolution images (classical approach) or from a single image. In this thesis a framework on Single Image Super-Resolution ...
Sparse Regression Based Face Recognition

Qudaimat, Ahmad Jum’a M (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2019-02)

Despite the large volume of research in the literature, face recognition remains a hard problem to solve. The challenge is due to many factors that may affect the performance of any recognition system such as size of ...
Sparse Representation over Multiple Learned Dictionaries via the Gradient Operator Properties with Application to Single-Image Super-Resolution

Yeganli, Faezeh (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2015-12)

Single-image super-resolution is an ill-posed inverse problem that requires effective regularization. Super-resolution over learned dictionaries offers a successful framework for efficiently solving this problem exploiting ...
Structural Dictionary Learning and Sparse Representation with Signal and Image Processing Applications

Nazzal, Mahmoud (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2015-08)

The success of sparse representation as a signal representation mechanism has been well-acknowledged in various signal and image processing applications, leading to the state-of-the-art performances. Flexibility and local ...