Muhammad Rushdi

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This paper proposes a novel approach for sparse coding that further improves upon the sparse representation-based classification (SRC) framework. The proposed framework, Affine-Constrained Group Sparse Coding (ACGSC), extends the current SRC framework to classification problems with multiple input samples. Geometrically, the affine-constrained group sparse(More)
2013 c ⃝ 2013 Shaoyu Qi 2 I dedicate this thesis to my beloved parents and other family members. Thank you for all of your constant support, encouragement and love throughout my life. 3 ACKNOWLEDGMENTS I would like to express my sincere thanks to everyone surrounds me. Their help, support and encouragement are indispensable for me to finish my Ph.D(More)
This paper proposes a novel algorithm for speckle reduction in medical ultrasound imaging while preserving the edges with the added advantages of adaptive noise filtering and speed. We propose a nonlinear image diffusion algorithm that incorporates two local parameters of image quality, namely, scatterer density and texture-based contrast in addition to(More)
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