Jun 14, 2017 · Abstract:Conventionally, image denoising and high-level vision tasks are handled separately in computer vision. In this paper, we cope with ...
In this paper, we cope with the two jointly and explore the mutual influence between them. First we propose a convolutional neural network for image denoising ...
People also ask
How is image denoising achieved using deep learning techniques?
Deep learning, especially a discriminative model for image denoising, has shown great potential in removing complex spectral-spatial noise in hyperspectral images (HSI). For HSI denoising, it is crucial to extract more context information around each pixel and to predict each pixel according to the surrounding context.
What is the purpose of image denoising?
One of the fundamental challenges in the field of image processing and computer vision is image denoising, where the underlying goal is to estimate the original image by suppressing noise from a noise-contaminated version of the image.
What could be the good strategy to denoise an image?
Image denoising is commonly based on three techniques: spatial filtering, temporal accumulation, and machine learning and deep learning reconstruction. Example of a spatially and temporally denoised final image. Spatial filtering selectively alters parts of an image by reusing similar neighboring pixels.
What are high level visual tasks?
High-level vision is the task of "understanding" a scene beyond single- object recognition. Typical examples are traffic scene understanding for driver assistance, inferring user intentions in smart-room scenarios, recognizing team behavior in robocup games, discovering criminal acts in monitoring tasks.
Jul 13, 2018 · When image denoising meets high-level vision tasks: a deep learning approach.
Conventionally, image denoising and high-level vision tasks are handled separately in computer vision, and their connection is fragile. In this paper, we cope ...
This paper proposes a convolutional neural network for image denoising which achieves the state-of-the-art performance and proposes a deep neural network ...
Conventionally, image denoising and high-level vision tasks are handled separately in computer vision. In this paper, we cope with the two jointly and ...
Jun 14, 2017 · We propose a deep convolutional neural network solution that cascades two modules for image denoising and various high level tasks, respectively ...
This repository provides codes that we use to study the mutual influence between image denoising and high-level vision tasks. (1) We present an image ...
Abstract—Image denoising and high-level vision tasks are usually handled independently in the conventional practice of computer vision, and their connection ...
Apr 16, 2018 · When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. Ding Liu1, Bihan Wen1, Xianming Liu2, Zhangyang Wang3, Thomas S ...