C2MSNet: A Novel approach for single image haze removal
نویسندگان
چکیده
Degradation of image quality due to the presence of haze is a very common phenomenon. Existing DehazeNet [3], MSCNN [11] tackled the drawbacks of hand crafted haze relevant features. However, these methods have the problem of color distortion in gloomy (poor illumination) environment. In this paper, a cardinal (red, green and blue) color fusion network for single image haze removal is proposed. In first stage, network fusses color information present in hazy images and generates multi-channel depth maps. The second stage estimates the scene transmission map from generated dark channels using multi channel multi scale convolutional neural network (McMs-CNN) to recover the original scene. To train the proposed network, we have used two standard datasets namely: ImageNet [5] and D-HAZY [1]. Performance evaluation of the proposed approach has been carried out using structural similarity index (SSIM), mean square error (MSE) and peak signal to noise ratio (PSNR). Performance analysis shows that the proposed approach outperforms the existing state-of-the-art methods for single image dehazing.
منابع مشابه
Improving Dark Channel Prior for Single Image Dehazing
This paper proposes an improved dark channel prior for removing haze from images. Dark channel prior is an effective method for removing haze. Dark channel is an image in the same size as the hazy image which is obtained by dividing the RGB images into windows and for each window, the minimum of each R, G and B channels are calculated. Then again the minimum of these three values is calculated ...
متن کاملFpga Implementation of Haze Removal Algorithm for Image Processing
Haze removal is a difficult problem due the inherent ambiguity between the haze and the underlying scene. All images contain some noise due to sensor error that can be amplified in the haze removal process. A number of methods have been proposed for haze removal. In this paper proposes a simple but effective image prior to remove haze from a single input image. By using single image it removes ...
متن کاملSingle Image Dehazing Using Color Attenuation Prior
In this paper, we propose a simple but powerful prior, color attenuation prior, for haze removal from a single input hazy image. By creating a linear model for modelling the scene depth of the hazy image under this novel prior and learning the parameters of the model by using a supervised learning method, the depth information can be well recovered. With the depth map of the hazy image, we can ...
متن کاملHaze and Cirrus Removal for Remote Sensing Image by Haze Thickness Map Estimation
Multispectral satellite images are often affected by haze and/or cirrus. A previous paper conferred a haze removal method that calculates a haze thickness based on a local search of dark objects. The haze-free signal is restored by subtracting the HTM from the affected image. The HTM method is substantially improved by employing the 1.38-μm cirrus band. The top-of-troposphere reflectance cirrus...
متن کاملRemoval of haze and noise from a single image
Images of outdoor scenes often contain degradation due to haze, resulting in contrast reduction and color fading. For many reasons one may need to remove these effects. Unfortunately, haze removal is a difficult problem due the inherent ambiguity between the haze and the underlying scene. Furthermore, all images contain some noise due to sensor (measurement) error that can be amplified in the h...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1801.08406 شماره
صفحات -
تاریخ انتشار 2018