Accurate merging of images for predictive analysis using combined image

TL;DR

This paper introduces a frequency domain-based image merging technique that preserves phase and amplitude information, enabling more precise combined images for engineering and biological applications where traditional intensity merging falls short.

Contribution

The paper presents a novel method for merging images using combined phase and amplitude in the frequency domain, improving accuracy over intensity-based methods.

Findings

Enhanced image merging accuracy in complex scenarios

Reduced dataset size with effective overlapped views

Applicable to precision engineering and biological analysis

Abstract

Several Scientific and engineering applications require merging of sampled images for complex perception development. In most cases, for such requirements, images are merged at intensity level. Even though it gives fairly good perception of combined scenario of objects and scenes, it is found that they are not sufficient enough to analyze certain engineering cases. The main problem is incoherent modulation of intensity arising out of phase properties being lost. In order to compensate these losses, combined phase and amplitude merge is demanded. We present here a method which could be used in precision engineering and biological applications where more precise prediction is required of a combined phenomenon. When pixels are added, its original property is lost but accurate merging of intended pixels can be achieved in high quality using frequency domain properties of an image. This paper introduces a technique to merge various images which can be used as a simple but effective technique for overlapped view of a set of images and producing reduced dataset for review purposes.