Search Results for author: Codruta O. Ancuti

Found 5 papers, 3 papers with code

NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images

no code implementations7 May 2020 Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte

The non-homogeneous haze has been introduced in the scene using a professional haze generator that imitates the real conditions of hazy scenes.

Image Dehazing Single Image Dehazing

Dense Haze: A benchmark for image dehazing with dense-haze and haze-free images

2 code implementations5 Apr 2019 Codruta O. Ancuti, Cosmin Ancuti, Mateu Sbert, Radu Timofte

Characterized by dense and homogeneous hazy scenes, Dense-Haze contains 33 pairs of real hazy and corresponding haze-free images of various outdoor scenes.

Image Dehazing Single Image Dehazing

I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images

2 code implementations13 Apr 2018 Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Christophe De Vleeschouwer

This represents an important advantage of the I-HAZE dataset that allows us to objectively compare the existing image dehazing techniques using traditional image quality metrics such as PSNR and SSIM.

Image Dehazing SSIM

O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images

1 code implementation13 Apr 2018 Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Christophe De Vleeschouwer

Haze removal or dehazing is a challenging ill-posed problem that has drawn a significant attention in the last few years.

SSIM

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