Results 21 to 30 of about 235,831 (265)
Image compression and encryption based on wavelet transform and chaos [PDF]
Компьютерная оптика, 2019 With the rapid development of network technology, more and more digital images are transmitted on the network, and gradually become one important means for people to access the information.
Haibo Gao , Wenjuan Zeng
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Remote Sensing Image Fusion Based on Discrete Fractional Random Transform for Modified IHS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 The traditional IHS fusion, as a spatial domain method, mostly achieves the good spatial quality but the spectral distortion. The discrete fractional random transform (DFRNT) fusion, as a transform domain method, can maintain the high spectral ...
Q. Guo, A. Li, H. Q. Zhang, Z. K. Feng
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Unsupervised Low-Light Image Enhancement in the Fourier Transform Domain
Applied Sciences, 2023 Low-light image enhancement is an important task in computer vision. Deep learning-based low-light image enhancement has made significant progress. But the current methods also face the challenge of relying on a wide variety of low-light/normal-light ...
Feng Ming, Zhihui Wei, Jun Zhang
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Transform domain CPtNLMS algorithms [PDF]
2013 47th Annual Conference on Information Sciences and Systems (CISS), 2013 The concept of self-orthogonalizing adaptation is extended from the least mean square algorithm to the general case of complex proportionate type normalized least mean square algorithms. The derived algorithm requires knowledge of the input signal's covariance matrix.
Kevin T. Wagner, Milos I. Doroslovacki
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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 We present a framework for edge-aware optimization that is an order of magnitude faster than the state of the art while having comparable performance. Our key insight is that the optimization can be formulated by leveraging properties of the domain transform, a method for edge-aware filtering that defines a distance-preserving 1D mapping of the input ...
Bapat, Akash, Frahm, Jan-Michael
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Transform-Domain Polynomial Filtering
, 1998 Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Peceli, Gêbor +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
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GENERALIZATION BOUNDS FOR DOMAIN ADAPTATION VIA DOMAIN TRANSFORMATIONS
2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), 2018 Many domain adaptation methods are based on learning a projection or a transformation of the source and target domains to a common domain and training a classifier there, while the performance of such algorithms has not been theoretically studied yet. Previous studies proposing generalization bounds for domain adaptation relate the target loss to the ...
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The Cauchy transform on bounded domains [PDF]
Proceedings of the American Mathematical Society, 1989 Suppose that f f is in L 2 ( Δ ) {L^2}(\Delta ) where Δ \Delta is the unit disk, and that f = 0 f = 0 outside Δ \Delta . We show that then the Cauchy transform
Anderson, J. M., Hinkkanen, A.
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Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source