Dual-Scale Single Image Dehazing via Neural Augmentation.

Model-based single image dehazing algorithms restore haze-free images with sharp edges and rich details for real-world hazy images at the expense of low PSNR and SSIM values for synthetic hazy images. Data-driven ones restore haze-free images with high PSNR and SSIM values for synthetic hazy images but with low contrast, and even some remaining haze for real-world hazy images. In this paper, a novel single image dehazing algorithm is introduced by combining model-based and data-driven approaches.

Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids.

Model-based single image dehazing was widely studied due to its extensive applications. Ambiguity between object radiance and haze and noise amplification in sky regions are two inherent problems of model-based single image dehazing. In this paper, a dark direct attenuation prior (DDAP) is proposed to address the former problem.

Disruption of manganese ions [Mn(II)] transporter genes DR1709 or DR2523 in extremely radio-resistant bacterium Deinococcus radiodurans.

Objective: The primary objective of this study was to identify whether the manganese ions [Mn(II)] transporter genes DR1709 and DR2523 played roles in Deinococcus radiodurans's radiation resistance. The second objective was to study the relationships among manganese ions, manganese ions transporter genes and the bacterial radioresistance.

Methods: We constructed mutants of DR1709 and DR2523.

[Construction of the gene drb0099 deleted mutant and adversity analysis in the extremely radioresistant bacterium Deinococcus radiodurans].

Deinococcus radiodurans R1 has extraordinary resistance to radiation. DRB0099 might play an important role in protecting the bacterium against radiation. To verify the inference, we deleted drb0099 and constructed the mutant.