Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids
Model driven single image dehazing was widely studied on top of different priors due to its extensive applications. Ambiguity between object radiance and haze and noise amplification in sky regions are two inherent problems of model driven single image dehazing. In this paper, a dark direct attenuation prior (DDAP) is proposed to address the former problem. A novel haze line averaging is proposed to reduce the morphological artifacts caused by the DDAP which enables a weighted guided image filter with a smaller radius to further reduce the morphological artifacts while preserve the fine structure in the image. A multi-scale dehazing algorithm is then proposed to address the latter problem by adopting Laplacian and Guassian pyramids to decompose the hazy image into different levels and applying different haze removal and noise reduction approaches to restore the scene radiance at different levels of the pyramid. The resultant pyramid is collapsed to restore a haze-free image. Experiment results demonstrate that the proposed algorithm outperforms state of the art dehazing algorithms and the noise is indeed prevented from being amplified in the sky region.
Code (0)
등록된 구현이 없습니다.
Tasks
Image DehazingSingle Image DehazingSimilar Papers 제목 키워드 기반
Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
In this paper, we present an end-to-end network, called Cycle-Dehaze, for single image dehazing problem, which does not require pairs of hazy and corresponding ground truth images for training. That is, we train the netw…
Image DehazingSingle Image DehazingSingle Image Dehazing via Multi-scale Convolutional Neural Networks
The performance of existing image dehazing methods is limited by hand-designed features, such as the dark channel, color disparity and maximum contrast, with complex fusion schemes. In this paper, we propose a multi-scal…
Image DehazingSingle Image DehazingEfficient and Accurate Multi-scale Topological Network for Single Image Dehazing
Single image dehazing is a challenging ill-posed problem that has drawn significant attention in the last few years. Recently, convolutional neural networks have achieved great success in image dehazing. However, it is s…
feature selectionImage DehazingSingle Image DehazingHaze-Aware Attention Network for Single-Image Dehazing
Single-image dehazing is a pivotal challenge in computer vision that seeks to remove haze from images and restore clean background details. Recognizing the limitations of traditional physical model-based methods and the …
Image DehazingImage RestorationSingle Image DehazingA GAN-Based Input-Size Flexibility Model for Single Image Dehazing
Image-to-image translation based on generative adversarial network (GAN) has achieved state-of-the-art performance in various image restoration applications. Single image dehazing is a typical example, which aims to obta…
Generative Adversarial NetworkImage DehazingImage RestorationImage-to-Image Translation+2