#37 Frequency Domain Filtering | Modern Computer Vision
Welcome to 'Modern Computer Vision' course !
This lecture continues the discussion on 2D image processing, focusing on various filtering operations and their effects. It revisits the Gaussian filter and its discrete implementation, noting the need for careful handling when converting from continuous to discrete domains. The lecture demonstrates the effects of different filters on images, including blurring, sharpening, and noise reduction. It also introduces the concept of image downsampling, explaining the need for blurring before subsampling to prevent aliasing artifacts. The lecture concludes by emphasizing the importance of understanding the impact of different filters on image quality and the trade-offs involved in choosing appropriate filters.
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#2Dimageprocessing #Gaussianfilter #discreteimplementation #blurring #sharpening #noisereduction #downsampling #aliasing