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1703780 Vol 6 · Issue 2 Download Paper

Grid Distortion in Raspberry pi Microcomputer Based 3-by-3 Video Wall

Paul N, Bartholomew Omizegba, E.E. Okereke, O.U. Anene, E.C.

Subject area: Science,Engineering and Technology  ·  Area of research: image processing

Abstract

Grid Distortion due to screen bezels is a major problem in LCD-based video walls. The evaluation of distortion based on subjective assessment has resulted in difficulty and inconsistency. This paper proposes an objective approach using Structural Similarity Measure (SSIM) to evaluate grid distortion in Raspberry pi microcomputers based on 3-by-3 video wall with offset and overlay bezel enhancement techniques. Forty (48) videos with varying frame rates and resolutions were processed and recorded in a dark room (0 Lux light condition), using camera approach. Analyses of results at 95% confidence level using one-way Analysis of Variance (ANOVA) revealed the existence of bezels impacts negatively on video quality irrespective of the resolution, frame rate or bezel compensation used. However, resolution changes show significant differences in performance, with the overlay having a better performance of up to 9.96% when using 1080p videos. Results also revealed that this proposed evaluation model is an important tool for making a definite conclusion on the grid distortion in a video wall.

Keywords

Grid Distortion, Screen Bezel, Video wall; Raspberry pi; Offset; Overlay.

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How to cite this paper

Paul N, Bartholomew, Omizegba, E.E., Okereke, O.U., Anene, E.C. "Grid Distortion in Raspberry pi Microcomputer Based 3-by-3 Video Wall" Iconic Research And Engineering Journals Volume 6 Issue 2 2022 Page 223-232
Paul N, Bartholomew, Omizegba, E.E., Okereke, O.U., Anene, E.C. "Grid Distortion in Raspberry pi Microcomputer Based 3-by-3 Video Wall" Iconic Research And Engineering Journals, vol. 6, no. 2, Aug. 2022
Paul N, Bartholomew, Omizegba, E.E., Okereke, O.U., Anene, E.C. (2022). Grid Distortion in Raspberry pi Microcomputer Based 3-by-3 Video Wall. Iconic Research And Engineering Journals, 6(2).
Paul N, Bartholomew, Omizegba, E.E., Okereke, O.U., Anene, E.C. "Grid Distortion in Raspberry pi Microcomputer Based 3-by-3 Video Wall" Iconic Research And Engineering Journals, vol. 6, no. 2, Aug. 2022.
@article{1703780,
      author = {Paul N, Bartholomew, Omizegba, E.E., Okereke, O.U., Anene, E.C.},
      title = {Grid Distortion in Raspberry pi Microcomputer Based 3-by-3 Video Wall},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {2},
      pages = {223-232},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703780.pdf},
      abstract = {Grid Distortion due to screen bezels is a major problem in LCD-based video walls. The evaluation of distortion based on subjective assessment has resulted in difficulty and inconsistency. This paper proposes an objective approach using Structural Similarity Measure (SSIM) to evaluate grid distortion in Raspberry pi microcomputers based on 3-by-3 video wall with offset and overlay bezel enhancement techniques. Forty (48) videos with varying frame rates and resolutions were processed and recorded in a dark room (0 Lux light condition), using camera approach. Analyses of results at 95% confidence level using  one-way Analysis of Variance (ANOVA) revealed the existence of bezels impacts negatively on video quality irrespective of the resolution, frame rate or bezel compensation used. However, resolution changes show significant differences in performance, with the overlay having a better performance of up to 9.96% when using 1080p videos. Results also revealed that this proposed evaluation model is an important tool for making a definite conclusion on the grid distortion in a video wall.},
      keywords = {Grid Distortion, Screen Bezel, Video wall; Raspberry pi; Offset; Overlay.},
      month = {August},
  }