|M.Sc Student||Golts Alexander|
|Subject||Resolution Limits due to Pointwise Degradations in Color|
|Department||Department of Electrical Engineering||Supervisor||Professor Yoav Schechner|
|Full Thesis text|
Resolution loss is typically associated with imaging blur. However, pointwise effects such as random noise also degrade resolution, reducing the ability to distinguish small details in images. Past studies analyzed resolution limits in single channel, panchromatic systems. There is a need to generalize this analysis to color cameras. We analyze two main types of color sensors: Bayer sensors, which yield color by a filter array on top of a single panchromatic detector array, and full-field systems (e.g. 3CCD). Bayer sensors compromise resolution due to the inherent pointwise effect of sampling with a color filter array. In order to quantify this inherent loss, we present a model for the spatial frequency response of a Bayer system. Our model deals with a color input signal, and accounts for both sampling and linear demosaicking. For full-field systems, we analyze the probability of resolving details as a function of spatial frequency, under noise. The analysis introduces theoretical bounds for performance. Color sampling indeed enhances the ability to recover objects under noise, given a fixed photon flux. Our framework assesses the ability and probability of a color imaging system to distinguish an object of given size, color and SNR.