Automatic Image Self-Enhancement for Multi-Scale Spectral on Low Resolution Video

Authors

  • Arwin Halim STMIK Mikroskil
  • Sunaryo Winardi STMIK Mikroskil
  • Erlina Halim STMIK Mikroskil

DOI:

https://doi.org/10.21609/jiki.v14i1.900

Keywords:

Exposure Fusion Framework, MSR, Object Detection

Abstract

MSR technique is a process used to reduce the search area in an image. MSR relies heavily on image salience from image capture devices. The purpose of this study is to improve the detection of people's objects on video by increasing the quality of the image frames on video and MSR. This research uses artificial video taken in a room installed by CCTV. Object detection is evaluated using precision, recall, and fscore values. The results showed an increase in the quality of the performance of object detection that was properly detected as a person. The average detection performance is indicated by an fscore of 14.47%. Increasing the quantity of detection of objects of people reached 168.8% compared to the detection of only using MSR

Author Biography

Arwin Halim, STMIK Mikroskil

Informatics Engineering Department

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Published

2021-02-28

How to Cite

Halim, A., Winardi, S., & Halim, E. (2021). Automatic Image Self-Enhancement for Multi-Scale Spectral on Low Resolution Video. Jurnal Ilmu Komputer Dan Informasi, 14(1), 17–25. https://doi.org/10.21609/jiki.v14i1.900

Issue

Vol. 14 No. 1 (2021): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)

Section

Articles

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