DSpace Home
→
02 Faculty of Engineering
→
Department of Electrical and Electronic Engineering
→
Theses (Master's and Ph.D) – Electrical and Electronic Engineering
→
Browsing Theses (Master's and Ph.D) – Electrical and Electronic Engineering by Subject

Browsing Theses (Master's and Ph.D) – Electrical and Electronic Engineering by Subject "dictionary learning"

Now showing items 1-4 of 4

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 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 ...