Results 61 to 70 of about 6,876,175 (322)

Quantum Boolean image denoising [PDF]

open access: yesQuantum Information Processing, 2014
A quantum Boolean image processing methodology is presented in this work, with special emphasis in image denoising. A new approach for internal image representation is outlined together with two new interfaces: classical-to-quantum and quantum-to-classical.
openaire   +2 more sources

RESIDUAL LEARNING BASED IMAGE DENOISING AND COMPRESSION USING DNCNN

open access: yesICTACT Journal on Image and Video Processing, 2022
Image compression has become an essential subfield in image processing for many generations. This should be an effective process with decreasing this amount about a file format through frames unless significantly lowering from an exceptional standard ...
Savaram Shaliniswetha   +1 more
doaj   +1 more source

Data-Driven Tight Frame for Cryo-EM Image Denoising and Conformational Classification

open access: yes, 2018
The cryo-electron microscope (cryo-EM) is increasingly popular these years. It helps to uncover the biological structures and functions of macromolecules. In this paper, we address image denoising problem in cryo-EM. Denoising the cryo-EM images can help
Cai, Jian-Feng   +6 more
core   +1 more source

Wavelet based joint denoising of depth and luminance images [PDF]

open access: yes, 2007
In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images.
Jovanov, Ljubomir   +2 more
core   +1 more source

An image denoising method based on BP neural network optimized by improved whale optimization algorithm

open access: yesEURASIP Journal on Wireless Communications and Networking, 2021
As an important part of smart city construction, traffic image denoising has been studied widely. Image denoising technique can enhance the performance of segmentation and recognition model and improve the accuracy of segmentation and recognition results.
Chunzhi Wang   +4 more
doaj   +1 more source

A Research and Strategy of Remote Sensing Image Denoising Algorithms

open access: yes, 2019
Most raw data download from satellites are useless, resulting in transmission waste, one solution is to process data directly on satellites, then only transmit the processed results to the ground.
B Wen   +9 more
core   +1 more source

Deep Orthogonal Transform Feature for Image Denoising

open access: yesIEEE Access, 2020
Recently, CNN-based image denoising has been investigated and shows better performance than conventional vision based techniques. However, there are still a couple of limits that are weak partly in restoring image details like textured regions or produce
Yoon-Ho Shin   +3 more
doaj   +1 more source

Medical Image Denoising using Adaptive Threshold Based on Contourlet Transform

open access: yes, 2011
Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). This paper proposes a medical image denoising algorithm using contourlet transform.
Prasad, KVSVR, Satheesh, S.
core   +1 more source

Adaptive Image Denoising by Targeted Databases [PDF]

open access: yes, 2014
We propose a data-dependent denoising procedure to restore noisy images. Different from existing denoising algorithms which search for patches from either the noisy image or a generic database, the new algorithm finds patches from a database that ...
Enming Luo   +3 more
core   +1 more source

True 4D Image Denoising on the GPU

open access: yesInternational Journal of Biomedical Imaging, 2011
The use of image denoising techniques is an important part of many medical imaging applications. One common application is to improve the image quality of low-dose (noisy) computed tomography (CT) data.
Anders Eklund   +2 more
doaj   +1 more source

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