Results 91 to 100 of about 12,433,356 (168)

Single image intrinsic decomposition without a single intrinsic image

, 2018
Intrinsic image decomposition-decomposing a natural image into a set of images corresponding to different physical causes-is one of the key and fundamental problems of computer vision.
Chu, Hang, Antonio Torralba, Hang Chu, Raquel Urtasun, Urtasun, Raquel, Torralba, Antonio, Bolei Zhou, Ma, Wei-Chiu, Zhou, Bolei, Wei-Chiu Ma   +9 more
core   +1 more source

IMAGE DETECTION BY SINGULAR VALUE DECOMPOSITION OF IMAGE MATRICES.

, 1987
IMAGE DETECTION BY SINGULAR VALUE DECOMPOSITION OF IMAGE ...
ZQ Liu (7774793), Terry Caelli (13062708)   +1 more
core  

Effective Fundus Image Decomposition for the Detection of Red Lesions and Hard Exudates to Aid in the Diagnosis of Diabetic Retinopathy. [PDF]

Sensors (Basel), 2020
Romero-Oraá R, García M, Oraá-Pérez J, López-Gálvez MI, Hornero R.   +4 more
europepmc   +1 more source

Scale based image decomposition [PDF]

, 1986
An image decomposition method called Scale Based Image Decomposition is proposed m this thesis. Images are decomposed into their different levels of spatial scales in such a way that superposition of the various scales produces a replica of the original ...
Fahim, Nelly M.
core  

DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering. [PDF]

IEEE Trans Med Imaging, 2020
Li Z, Ravishankar S, Long Y, Fessler JA.
europepmc   +1 more source

Texture classification using discriminant wavelet packet subbands [PDF]

, 2002
This paper addresses the issue of selecting features from a given wavelet packet subband decomposition that are most useful for texture classification in an image.
Rajpoot, Nasir M. (Nasir Mahmood)
core  

PRMEFNet: A Real-Time Unsupervised Multi-Exposure Fusion Network Driven by Prior Knowledge

Journal of Imaging
Due to the limited dynamic range of imaging sensors, most cameras can only capture low-dynamic-range (LDR) images. Multi-exposure fusion (MEF) is an effective technique for generating high-dynamic-range (HDR) images.
Junwei Qi, Hangdong Wang, Xu Xiao, Jingpeng Gao   +3 more
doaj   +1 more source

Singular Value Decomposition Guided Image Compression [PDF]

This paper presents singular value decomposition (SVD), a major technique to matrix decomposition. SVD functions as the fundamental scientific instrument of numerous applications including principal component analysis (PCA), matrix approximation, Eigen ...
Alam, Md.Ashraful, Uddin Ahmed, Khandker Farid, Bhuiyan, Abdul Halim, Hasan Sakib, Md.Nazmul   +3 more
core   +1 more source

Strong and Controllable Blind Image Decomposition [PDF]

Blind image decomposition aims to decompose all components present in an image, typically used to restore a multi-degraded input image. While fully recovering the clean image is appealing, in some scenarios, users might want to retain certain ...
Han, Junlin, Zhang, Zeyu, Gou, Chenhui, Li, Hongdong, Zheng, Liang   +4 more
core   +1 more source

Applications of the Discrete Hodge Helmholtz

, 2008
The Discrete Hodge Helmholtz Decomposition (DHHD) is able to locate critical points in a vector field. We explore two novel applications of this technique to image processing problems, viz., hurricane tracking and fingerprint analysis.
Anup Basu, Mrinal K. M, Biswaroop Palit, Decomposition To Image   +3 more
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