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"}
10.7753/IJCATR0911.1003
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