IJCATR Volume 9 Issue 11

Underwater Image Enhancement Using Histogram Equalization and Color Correction

Reza Bagus Acintyasakti, Rahmadwati, Panca Mudjirahardjo
10.7753/IJCATR0911.1003
keywords : underwater images, image enhancement, histogram equalization, color correction, MSE, PSNR.

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This research provides instructions for improve underwater image quality using histogram equalization and color correction. Images processing plays important role, the image does not only provide effects that make an image better but also must be able to improve quality of the image itself. The performance of each method is calculated by finding the Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR).
@artical{r9112020ijcatr09111003,
Title = "Underwater Image Enhancement Using Histogram Equalization and Color Correction",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "9",
Issue ="11",
Pages ="299 - 302",
Year = "2020",
Authors ="Reza Bagus Acintyasakti, Rahmadwati, Panca Mudjirahardjo"}
  • Underwater images contains many distortions that appear and are difficult to use simple methods.
  • This research proposes an improve of underwater image quality.
  • The image enhancement process in this research is histogram equalization and color correction.
  • The performance of each method is calculated by finding the MSE and PSNR.