Mixture contrast limited adaptive histogram equalization for underwater image enhancement

By M. S. Hitam, W. Yussof, E. A. Awalludin, Zainudin Bachok. International Conference on Computer Applications Technology, 2013

451 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors (2022, unknown): “Hitam et al. [15] built a mixture contrast limited adaptive histogram equalization to improve contrast of underwater images and reduce artifacts.”
U-Shape Transformer for Underwater Image Enhancement (2021, methodology): “Such as contrast adjustment [34], histogram equalization [34], and white balance [11].”
UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space (2021, methodology): “Top row: raw underwater images from DUIE datasets [1]; Bottom row: the corresponding results of our model. these algorithms have certain limitations: the classic in-air image enhancement methods [4], [5] are often not outstanding enough in processing underwater image.”
Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light (2019, unknown): “CLAHE-MIX[21] Mixture RGB and HSV CLAHE R MSE, PSNR 7”