Multi-Feature-Based Bilinear CNN for Single Image Dehazing
نویسندگان
چکیده
منابع مشابه
Image Dehazing using Bilinear Composition Loss Function
In this paper, we introduce a bilinear composition loss function to address the problem of image dehazing. Previous methods in image dehazing use a two-stage approach which first estimate the transmission map followed by clear image estimation. The drawback of a two-stage method is that it tends to boost local image artifacts such as noise, aliasing and blocking. This is especially the case for...
متن کاملImproving 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 کاملSingle Image Dehazing Algorithm Based on Dark Channel Prior and Inverse Image
The sky regions of foggy image processed by all the existing conventional dehazing methods are degraded by color distortion and severe noise. This paper proposes an improved algorithm which combines dark channel prior and inverse image. We first invert the foggy image, and then estimate the transmission of the inverse image. At last, compared with the non-inversed transmission, the larger value...
متن کاملSingle Scale image Dehazing by Multi Scale Fusion
-Because of the strong and successfulness, tampering of digital images depends upon the flexible architecture for a derivative estimation has become an important method to a spectacle for a large number of approaches. Regulated on an inherent range, the tampering of digital image procedure is varied and carried out. The beginning of a bridging origination which dilutes into a simple procedure. ...
متن کاملSingle 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-scale deep neural network for single-image dehazing by learning the mapping between hazy images and their corresponding transmission maps. The proposed algorithm consists of a coars...
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: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2920537