Darwin Steni

Background

About Darwin Steni

Fundamentals: Image formation; acquisition, perception; representation; pixel relationships Image compression: subband coding and wavelets; fractals; Image enhancement and restoration: image transforms; order-statistics filters; smoothing and sharpening; projection on convex sets; reconstruction from Incomplete data Image segmentation: image features; texture analysis; clustering algorithms Image compression: Discrete Cosine Transform; Discrete Fourier transform; Lossy and lossless image compression Morphology: image blurring; sharpening; edge detection; shape analysis Image pattern recognition: image fusion; image security; image steganography; image compositing 3D motion analysis: rigid objects; articulate objects; non-rigid motion Optical image processing: 2D Fourier transform; linear filtering; nonlinear processing From image/video databases: content-based and similarity-based indexing and retrieval; video segmentation and keyframe extraction Academic Courses Includes: Digital Image Processing, Data Structures and Algorithms, Advanced Cryptography, Advanced Databases, Advanced Computer Graphics and Animation Programming, 3D Objects Modeling and Rendering; Audio and Video Processing, Biometrics Projects and Papers Published: 1) Implementation of Non-Uniform Blind Deconvolution for a Single-Image (Thesis & Coding(Matlab) by Darwin Steni, Anna University, 2013) 2) Implementation of Blind Deconvolution for a Partial Blurred Single Image (Thesis & Coding(Matlab) by Darwin Steni, Anna University, 2014)