FTSH: a framework for transition from square image processing to hexagonal image processing

Abstract

This paper proposes a novel framework for transition from the ordinary square-pixel-based image processing (SIP) domain to the hexagonal-pixel-based (HIP) domain (FTSH). The conventional image acquisition and processing are based on square pixels. However, HIP can provide promising advantages in many respects, such as degrading the curse of data size and accordingly reducing the processing time. HIP did not achieve satisfactory attraction because all software, including libraries, methods and structures, as well as mathematical operations and methodologies developed to date, are aimed at SIP. In this study, we propose a framework containing the corresponding HIP equivalents of some basic SIP methods and operations. In addition, the results of these basic operations in both SIP and HIP areas are presented comparatively. Since there is no common and standardized framework or library for HIP, this study can be used by other researchers who wish to enter the HIP. Simulation results support the competitive performance of HIP, and this promising performance can be carried far beyond when properly handled and focused.