High ISO JPEG Image Denoising by Deep Fusion of Collaborative and Convolutional Filtering.

08:00 EDT 9th April 2019 | BioPortfolio

Summary of "High ISO JPEG Image Denoising by Deep Fusion of Collaborative and Convolutional Filtering."

Capturing images at high ISO modes will introduce much realistic noise, which is difficult to be removed by traditional denoising methods. In this paper, we propose a novel denoising method for high ISO JPEG images via deep fusion of collaborative and convolutional filtering. Collaborative filtering explores the non-local similarity prior of natural images, while convolutional filtering takes advantage of the large capacity of convolutional neural network (CNN) to infer noise from noisy images. We observe that the noise variance map of a high ISO JPEG image is spatial-dependent and has a Bayer-like pattern. Therefore, we introduce the Bayer pattern prior in our noise estimation and collaborative filtering stages. Since collaborative filtering is good at recovering repeatable structures and convolutional filtering is good at recovering irregular patterns and removing noise in flat regions, we propose to fuse the strengths of the two methods via deep CNN. Experimental results demonstrate that our method outperforms state-of-the-art realistic noise removal methods for a wide variety of testing images in both subjective and objective measurements. In addition, we construct a dataset with noisy and clean image pairs for high ISO JPEG images to facilitate research on this topic.


Journal Details

This article was published in the following journal.

Name: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
ISSN: 1941-0042


DeepDyve research library

PubMed Articles [17492 Associated PubMed Articles listed on BioPortfolio]

Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks.

In recent years, there has been a growing interest in applying convolutional neural networks (CNNs) to low-level vision tasks such as denoising and super-resolution. Due to the coherent nature of the ...

Deep Convolutional Neural Network for Natural Image Matting using Initial Alpha Mattes.

We propose a deep convolutional neural network (CNN) method for natural image matting. Our method takes multiple initial alpha mattes of the previous methods and normalized RGB color images as inputs,...

DeepISP: Towards Learning an End-to-End Image Processing Pipeline.

We present DeepISP, a full end-to-end deep neural model of the camera image signal processing (ISP) pipeline. Our model learns a mapping from the raw low-light mosaiced image to the final visually com...

Deep Group-wise Fully Convolutional Network for Co-saliency Detection with Graph Propagation.

A key problem in co-saliency detection is how to effectively model the interactive relationship of a whole image group and the individual perspective of each image in a united data-driven manner. In t...

Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising.

Deep convolutional neural networks offer state-of-the-art performance for medical image analysis. However, their architectures are manually designed for particular problems. On the one hand, a manual ...

Clinical Trials [5986 Associated Clinical Trials listed on BioPortfolio]

Image Fusion System for 3D Preoperative Planning in the Osteosynthesis

Utility of image fusion system for the fracture management will be evaluated.

Ultra-Low Dose CT Denoising for Lung Nodule Detection

We will perform an ultra low-dose CT (ULDCT) in addition to a regular chest CT scan for adult patients undergoing a clinically indicated chest CT. Using a recently developed computationall...

Validation of a Universal Cataract Intelligence Platform

This study established and validated a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multi-level clinical scenarios and explored an AI...

Interventional Sonography Guided by Image Fusion

The purpose of this study is to register the precision of image fusion between live sonography and CT, MRI or PET/CT of liver lesions and other focal lesions in the abdomen. To test whethe...

Image Fusion of SPECT MPI and Fluoroscopy Venography to Guide LV Lead Placement for Improved CRT Response (GUIDE-CRT II)

CRT response will be significantly better using image fusion of SPECT MPI and fluoroscopy venogram to guide LV lead placement at the latest activation segment without scar than standard-of...

Medical and Biotech [MESH] Definitions

A method of delineating blood vessels by subtracting a tissue background image from an image of tissue plus intravascular contrast material that attenuates the X-ray photons. The background image is determined from a digitized image taken a few moments before injection of the contrast material. The resulting angiogram is a high-contrast image of the vessel. This subtraction technique allows extraction of a high-intensity signal from the superimposed background information. The image is thus the result of the differential absorption of X-rays by different tissues.

The GENETIC RECOMBINATION of the parts of two or more GENES resulting in a gene with different or additional regulatory regions, or a new chimeric gene product. ONCOGENE FUSION includes an ONCOGENE as at least one of the fusion partners and such gene fusions are often detected in neoplastic cells and are transcribed into ONCOGENE FUSION PROTEINS. ARTIFICIAL GENE FUSION is carried out in vitro by RECOMBINANT DNA technology.

The production of an image obtained by cameras that detect the radioactive emissions of an injected radionuclide as it has distributed differentially throughout tissues in the body. The image obtained from a moving detector is called a scan, while the image obtained from a stationary camera device is called a scintiphotograph.

The GENETIC RECOMBINATION of the parts of two or more GENES, including an ONCOGENE as at least one of the fusion partners. Such gene fusions are often detected in neoplastic cells and are transcribed into ONCOGENE FUSION PROTEINS.

A visual image which is recalled in accurate detail. It is a sort of projection of an image on a mental screen.

Quick Search


DeepDyve research library

Relevant Topics

The Top 100 Pharmaceutical Companies
Top 10 biotech and pharmaceutical companies worldwide based on market value in 2015 2015 ranking of the global top 10 biotech and pharmaceutical companies based on revenue (in billion U.S. dollars) Johnson & Johnson, U.S. 74...

Antiretroviral therapy
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...

Searches Linking to this Article