pith. sign in

arxiv: 1211.1768 · v2 · pith:PCFULVO4new · submitted 2012-11-08 · 💻 cs.GR

Nearest Neighbor Value Interpolation

classification 💻 cs.GR
keywords valuealgorithminterpolationnearestconventionalneighborproposedconcept
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. When VR Meets BCI: (Un)Observable Brainwave-aware Privacy Reconstruction in the Metaverse via Unrestricted Inbuilt Motion Sensors

    cs.CR 2026-06 unverdicted novelty 6.0

    BraVeSpy reconstructs brain EEG signals from VR headset motion sensors to infer unobservable perceptions and sensitive activities, achieving 52-67% accuracy on images and over 85% on activity fingerprinting.