Result Analysis-Edge-Preserving Decomposition-based Single Image Haze Removal
نویسندگان
چکیده
منابع مشابه
Edge-Preserving Decomposition-Based Image Haze Removal – A Survey
This paper presents a review on edge-preserving decomposition based image haze removal. When the background has dust particles or hazes its image quality and color is degraded. It is well-known that local filtering-based edge preserving smoothing method suffers from halo artifacts. In this paper a survey of many different methods for haze removal just like Laplacian-based visibility restoration...
متن کاملSingle Image Haze Removal Algorithm Using Edge Detection
Images of outdoor scenes are usually degraded under bad weather conditions and bad environment which results in a hazy image. The most of haze removal methods based on a single image have ignored the effects of sensor blur and noise. Therefore, in this paper we propose a simple but effective image priodark channel prior to remove haze from a single input image. We employ an extremum approximate...
متن کاملSingle Image Haze Removal with Pixel-based Transmission Map Estimation
Adversary imaging condition such as in a hazy weather is a challenge in the community of image processing. To address the challenge of haze removal, several model-based approaches have been reported recently. Among them, a single image haze removal scheme based on dark channel prior (DCP) was presented in [1] and has been getting popular because of its satisfactory performance for most of cases...
متن کاملEdge-preserving Multiscale Image Decomposition based on Local Extrema Citation
We propose a new model for detail that inherently captures oscillations, a key property that distinguishes textures from individual edges. Inspired by techniques in empirical data analysis and morphological image analysis, we use the local extrema of the input image to extract information about oscillations: We define detail as oscillations between local minima and maxima. Building on the key o...
متن کاملImage Haze Removal via Haze Density Analysis Based on Pixel-based Dark Channel Prior
Images/videos of outdoor scenes are usually degraded by the turbid medium in the atmosphere. In this paper, a novel single image-based dehazing framework is proposed to remove haze effects from image/video, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze imaging model, we propose t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017912860