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What is Sparse Image Representation Techniques about?
This dissertation explores sparse image decomposition to enhance image coding and compression efficiency through combined transforms. It discusses the limitations of individual transforms and proposes a combined scheme that leverages multiple transforms for improved sparsity. The research employs Basis Pursuit for finding minimum 1-norm solutions and utilizes advances in convex optimization to address computational challenges, demonstrating the effectiveness of the combined approach in achieving sparser rep
- Author
- hadaneshvar
- Language
- EN