Depth and Reflection Total Variation for Single Image Dehazing
Haze removal has been a very challenging problem due to its ill-posedness, which is more ill-posed if the input data is only a single hazy image. In this paper, we present a new approach for removing haze from a single input image. The proposed method combines the model widely used to describe the formation of a haze image with the assumption in Retinex that an image is the product of the illumination and the reflection. We assume that the depth and reflection functions are spatially piecewise smooth in the model, where the total variation is used for the regularization. The proposed model is defined as a constrained optimization problem, which is solved by an alternating minimization scheme and the fast gradient projection algorithm. Some theoretic analyses are given for the proposed model and algorithm. Finally, numerical examples are presented to demonstrate that our method can restore vivid and contrastive hazy images effectively.
Code (0)
등록된 구현이 없습니다.
Tasks
Image DehazingSingle Image DehazingSimilar Papers 제목 키워드 기반
Waterdrop Stereo
This paper introduces depth estimation from water drops. The key idea is that a single water drop adhered to window glass is totally transparent and convex, and thus optically acts like a fisheye lens. If we have more th…
Depth EstimationUtilizing Multi-step Loss for Single Image Reflection Removal
Image reflection removal is crucial for restoring image quality. Distorted images can negatively impact tasks like object detection and image segmentation. In this paper, we present a novel approach for image reflection …
Depth EstimationImage Segmentationobject-detectionObject Detection+2SHADeS: Self-supervised Monocular Depth Estimation Through Non-Lambertian Image Decomposition
Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recognising which portions of the colon have been visualised and characterising the size and shape of polyps. This is still a ver…
3D Scene ReconstructionDepth EstimationMonocular Depth EstimationATGV-Net: Accurate Depth Super-Resolution
In this work we present a novel approach for single depth map super-resolution. Modern consumer depth sensors, especially Time-of-Flight sensors, produce dense depth measurements, but are affected by noise and have a low…
Depth Map Super-ResolutionImage Super-ResolutionRolling Shutter CorrectionSuper-ResolutionDepth-Synergized Mamba Meets Memory Experts for All-Day Image Reflection Separation
Image reflection separation aims to disentangle the transmission layer and the reflection layer from a blended image. Existing methods rely on limited information from a single image, tending to confuse the two layers wh…