Astronomical image and data analysis
With information and scale as central themes, this comprehensive survey explains how to
handle real problems in astronomical data analysis using a modern arsenal of powerful …
handle real problems in astronomical data analysis using a modern arsenal of powerful …
End-to-end optimized versatile image compression with wavelet-like transform
Built on deep networks, end-to-end optimized image compression has made impressive
progress in the past few years. Previous studies usually adopt a compressive auto-encoder …
progress in the past few years. Previous studies usually adopt a compressive auto-encoder …
Non-dispersive wave packets in periodically driven quantum systems
With the exception of the harmonic oscillator, quantum wave packets usually spread as time
evolves. This is due to the non-linear character of the classical equations of motion which …
evolves. This is due to the non-linear character of the classical equations of motion which …
[BOOK][B] Sparse image and signal processing: wavelets, curvelets, morphological diversity
This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and …
[BOOK][B] Wavelets: Theory and applications for manufacturing
Wavelets: Theory and Applications for Manufacturing presents a systematic description of
the fundamentals of wavelet transform and its applications. Given the widespread utilization …
the fundamentals of wavelet transform and its applications. Given the widespread utilization …
Global minimum for active contour models: A minimal path approach
A new boundary detection approach for shape modeling is presented. It detects the global
minimum of an active contour model's energy between two end points. Initialization is made …
minimum of an active contour model's energy between two end points. Initialization is made …
[BOOK][B] Wavelet methods in statistics with R
GP Nason - 2008 - Springer
The word 'multiscale'can mean many things. However, in this book we are generally
concerned with the representation of objects at a set of scales and then manipulating these …
concerned with the representation of objects at a set of scales and then manipulating these …
Empirical evaluation of dissimilarity measures for color and texture
J Puzicha, JM Buhmann, Y Rubner… - Proceedings of the …, 1999 - ieeexplore.ieee.org
This paper empirically compares nine image dissimilarity measures that are based on
distributions of color and texture features summarizing over 1,000 CPU hours of …
distributions of color and texture features summarizing over 1,000 CPU hours of …
[BOOK][B] Sparse image and signal processing: Wavelets and related geometric multiscale analysis
This thoroughly updated new edition presents state of the art sparse and multiscale image
and signal processing. It covers linear multiscale geometric transforms, such as wavelet …
and signal processing. It covers linear multiscale geometric transforms, such as wavelet …
Deep adaptive wavelet network
Even though convolutional neural networks have become the method of choice in many
fields of computer vision, they still lack interpretability and are usually designed manually in …
fields of computer vision, they still lack interpretability and are usually designed manually in …