Syllabus

Human visual system and image perception; monochrome and color vision models; image digitization, display, and storage; 2‐D signals and systems; image transforms‐ 2D DFT, DCT, KLT, Harr transform and discrete wavelet transform; image enhancement: histogram processing. Spatial‐filtering, frequency‐ domain filtering; image restoration: linear degradation model, inverse filtering, Wiener filtering; image compression: lossy and lossless compression, image compression standards, image analysis: edge and line detection, segmentation, feature extraction, classification; image texture analysis; morphological image processing: binary morphology‐erosion, dilation, opening and closing operations, applications; basic gray‐scale morphology operations; color image processing: color models and color image processing. Fundamentals of digital video Processing‐Coverage includes Spatio-temporal sampling, motion analysis, parametric motion models, motion‐compensated filtering, and video processing operations. advanced topics related to recent trends in image processing and computer vision