Results 1 - 10 of 35

Context-aware single image rain removal

by De-an Huang, Li-wei Kang, Min-chun Yang, Chia-wen Lin, Yu-chiang Frank Wang - in Proc. IEEE Int. Conf. Multimedia and Expo , 2012
"... Abstract—Rain removal from a single image is one of the challenging image denoising problems. In this paper, we present a learning-based framework for single image rain removal, which focuses on the learning of context information from an input image, and thus the rain patterns present in it can be ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract—Rain removal from a single image is one of the challenging image denoising problems. In this paper, we present a learning-based framework for single image rain removal, which focuses on the learning of context information from an input image, and thus the rain patterns present in it can

Single-frame-based rain removal via image decomposition

by Yu-hsiang Fu, Li-wei Kang, Chiou-ting Hsu - IEEE International Conference on Acoustics, Speech, and Signal Processing
"... Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image has been rarely studied in the literature, where no temporal information among successive images can be exploited, making it more challengi ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image has been rarely studied in the literature, where no temporal information among successive images can be exploited, making it more

Removing rain from a single image via discriminative sparse coding∗

by Yu Luo, Yong Xu, Hui Ji
"... Visual distortions on images caused by bad weather con-ditions can have a negative impact on the performance of many outdoor vision systems. One often seen bad weather is rain which causes significant yet complex local intensi-ty fluctuations in images. The paper aims at developing an effective algo ..."
Abstract - Add to MetaCart
algorithm to remove visual effects of rain from a single rain image, i.e. separate the rain layer and the de-rained image layer from a rain image. Built upon a non-linear generative model of rain image, namely screen blend model, we propose a dictionary learning based algorithm for single image de-raining

Automatic singleimage-based rain streaks removal via image decomposition

by Li-wei Kang, Chia-wen Lin, Senior Member, Yu-hsiang Fu - IEEE Trans. Image Process
"... Abstract—Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image was rarely studied in the literature, where no temporal information among successive images can be exploited, making the problem v ..."
Abstract - Cited by 7 (4 self) - Add to MetaCart
Abstract—Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single image was rarely studied in the literature, where no temporal information among successive images can be exploited, making the problem

Self-Learning-based Rain Streak Removal for Image/Video

by Li-wei Kang, Chia-wen Lin, Che-tsung Lin, Yu-chen Lin
"... Abstract—Rain removal from an image/video is a challenging problem and has been recently investigated extensively. In our previous work, we have proposed the first single-image-based rain streak removal framework via properly formulating it as an image decomposition problem based on morphological co ..."
Abstract - Add to MetaCart
Abstract—Rain removal from an image/video is a challenging problem and has been recently investigated extensively. In our previous work, we have proposed the first single-image-based rain streak removal framework via properly formulating it as an image decomposition problem based on morphological

Spatio-temporal frequency analysis for removing rain and snow from videos

by Peter Barnum, Takeo Kanade, Srinivasa G Narasimhan - In Workshop on , 2007
"... Capturing good videos outdoors can be challenging due to harsh lighting, unpredictable scene changes, and most relevant to this work, dynamic weather. Particulate weather, such as rain and snow, creates complex flickering effects that are irritating to people and confusing to vision algorithms. Alth ..."
Abstract - Cited by 11 (2 self) - Add to MetaCart
to determine the general shape and brightness of a single streak. This streak model is combined with the statistical properties of rain and snow, to determine how they effect the spatio-temporal frequencies of an image sequence. Once detected, these frequencies can then be suppressed. At a small scale, many

Visual Depth Guided Color Image Rain Streaks Removal Using Sparse Coding

by Duan-yu Chen, Chien-cheng Chen, Li-wei Kang
"... Abstract — Rain removal from a single color image is a chal-lenging problem as no temporal information among successive images can be obtained. In this paper, we propose a single-color-image-based rain removal framework by properly formulating rain removal as an image decomposition problem based on ..."
Abstract - Add to MetaCart
Abstract — Rain removal from a single color image is a chal-lenging problem as no temporal information among successive images can be obtained. In this paper, we propose a single-color-image-based rain removal framework by properly formulating rain removal as an image decomposition problem based

Restoring an image taken through a window covered with dirt or rain

by David Eigen, Dilip Krishnan, Rob Fergus - In Computer Vision (ICCV), 2013 IEEE International Conference on
"... Photographs taken through a window are often compro-mised by dirt or rain present on the window surface. Com-mon cases of this include pictures taken from inside a ve-hicle, or outdoor security cameras mounted inside a pro-tective enclosure. At capture time, defocus can be used to remove the artifac ..."
Abstract - Cited by 7 (1 self) - Add to MetaCart
the artifacts, but this relies on achieving a shallow depth-of-field and placement of the camera close to the win-dow. Instead, we present a post-capture image processing solution that can remove localized rain and dirt artifacts from a single image. We collect a dataset of clean/corrupted image pairs which

Self-Learning Based Image Decomposition With Applications to Single Image Denoising

by De-an Huang, Li-wei Kang, Yu-chiang Frank Wang, Chia-wen Lin, Senior Member
"... Abstract—Decomposition of an image into multiple semantic components has been an effective research topic for various image processing applications such as image denoising, enhancement, and inpainting. In this paper, we present a novel self-learning based image decomposition framework. Based on the ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
such as the relationship between input and output image dictionaries. We conduct experiments on two denoising problems: single-image denoising with Gaussian noise and rain removal. Our empirical results confirm the effectiveness and robustness of our approach, which is shown to outperform state-of-the-art image denoising

Keywords De-weathering · Image enhancement · Noise

by Takeo Kanade, P. C. Barnum, S. Narasimhan, T. Kanade, S. Narasimhan, T. Kanade , 2008
"... Abstract Dynamic weather such as rain and snow causes complex spatio-temporal intensity fluctuations in videos. Such fluctuations can adversely impact vision systems that rely on small image features for tracking, object detection and recognition. While these effects appear to be chaotic in space an ..."
Abstract - Add to MetaCart
and time, we show that dynamic weather has a predictable global effect in frequency space. For this, we first develop a model of the shape and appearance of a single rain or snow streak in image space. Detecting individual streaks is difficult even with an accurate appearance model, so we combine
Results 1 - 10 of 35