Electrical & Computer Engineering, Department of


Date of this Version

Fall 12-2011


A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfilment of Requirements For the Degree of Master of Science, Major: Electrical Engineering Under the Supervision of Professors Dr. Sina Balkir and Dr. Michael W. Hoffman. Lincoln, Nebraska: December, 2011

Copyright (c) 2011 Anantha Krishna Nelliparthi


The concept of introducing image processing logic within the spatial gaps of an array of photodiodes is the key factor behind the presented work. A two-dimensional massively parallel image processing paradigm based on 8X8 pixel neighborhood digital processors has been designed. A low complexity processor array architecture along with its instruction set has been designed and fully verified on a FPGA platform. Various image processing tests have been run on the FPGA platform to demonstrate the functionality of a design that uses 12 parallel processors. The test results indicate that the architecture is scalable to support high frame rates while allowing for flexible processing due to inherent programmability at a high level. The gate level logic synthesis results of the processor targeting a 0.13 μm CMOS technology indicates a low silicon area complexity, allowing for image sensor integration.

Adviser: Dr. Sina Balkir, Co-Adviser: Dr. Michael W. Hoffman