Nearest Neighbor Value Interpolation

TL;DR

This paper introduces the nearest neighbor value (NNV) interpolation algorithm for high-resolution images, which selects pixel values based on similarity rather than proximity, resulting in improved image quality over traditional methods.

Contribution

The paper proposes a novel NNV algorithm that improves high-resolution image interpolation by using value-based selection instead of distance-based, outperforming conventional methods.

Findings

Higher performance in high-resolution image quality

Better preservation of image details

Outperforms traditional interpolation algorithms

Abstract

This paper presents the nearest neighbor value (NNV) algorithm for high resolution (H.R.) image interpolation. The difference between the proposed algorithm and conventional nearest neighbor algorithm is that the concept applied, to estimate the missing pixel value, is guided by the nearest value rather than the distance. In other words, the proposed concept selects one pixel, among four directly surrounding the empty location, whose value is almost equal to the value generated by the conventional bilinear interpolation algorithm. The proposed method demonstrated higher performances in terms of H.R. when compared to the conventional interpolation algorithms mentioned.