PHYS1008 Study Guide - Final Guide: Image Noise, Low-Pass Filter, Human Eye
2 Aug 2018
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Document Summary
Differentiate between digital image pre-processing, processing and post-processing. Explain the characteristics of spatial frequency filtering using high-pass and low-pass. Identify the premise of pre-processing and provide examples filters. Discuss kernel properties and the influence these will have on the convolution. Explain the rationale of un-sharp mask filtering and multiresolution processing. Describe the 5 classes of image post-processing. Explain post-processing operations and provide examples of each. Information derived from the pixel matrix = spatial (x,y) location. Digitisation causes a digital image to become an approximation of a real scene. Information derived from the spatial coordinates of the digital image (x,y location) = Pixel - elements of a digital image. Cluster bunch of pixels grouped by brightness (not position) Low resolution will result from too few pixels being sampled. Range of image densities: variation in x-ray absorption and transmission as x-ray beam passes through tissues. Low x-ray density = high brightness (less x-rays pass through)
