Results 61 to 70 of about 6,876,175 (322)
Quantum Boolean image denoising [PDF]
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
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
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]
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
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
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
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
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]
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
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

