Deblurring Face Images Using Uncertainty Guided Multi-Stream Semantic Networks
نویسندگان
چکیده
منابع مشابه
Deep Semantic Face Deblurring
In this paper, we present an effective and efficient face deblurring algorithm by exploiting semantic cues via deep convolutional neural networks (CNNs). As face images are highly structured and share several key semantic components (e.g., eyes and mouths), the semantic information of a face provides a strong prior for restoration. As such, we propose to incorporate global semantic priors as in...
متن کاملDeblurring Face Images with Exemplars
The human face is one of the most interesting subjects involved in numerous applications. Significant progress has been made towards the image deblurring problem, however, existing generic deblurring methods are not able to achieve satisfying results on blurry face images. The success of the state-of-the-art image deblurring methods stems mainly from implicit or explicit restoration of salient ...
متن کاملMulti-View Face Detection in Open Environments using Gabor Features and Neural Networks
Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard d...
متن کاملBlind motion deblurring using multiple images
Recovery of degraded images due to motion blurring is one challenging problem in digital imaging. Most existing techniques on blind deblurring are not capable of removing complex motion blurring from the blurred images of complex structures. One promising approach is to recover the clear image using multiple images captured for the scene. However, it is observed in practice that such a multi-fr...
متن کاملDeblurring in AFM images
Atomic Force Microscopy (AFM) has been widely used in the material and life sciences and has enabled much progress in nanotechnology since it was invented. AFM relies on inter-atomic forces to form a topographical map of a sample surface. Depending on the surface type, it is possible to achieve atomic resolution. However, due to either the microscope design and operation mode or external enviro...
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 Transactions on Image Processing
سال: 2020
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2020.2990354