scholarly journals QuicK-means: accelerating inference for K-means by learning fast transforms

2021 ◽  
Author(s):  
Luc Giffon ◽  
Valentin Emiya ◽  
Hachem Kadri ◽  
Liva Ralaivola
Keyword(s):  
Fast Transforms

scholarly journals Fast Transforms in Image Processing: Compression, Restoration, and Resampling

2014 ◽  
Vol 2014 ◽  
pp. 1-23 ◽  
Author(s):  
Leonid P. Yaroslavsky
Keyword(s):  
Image Processing ◽  
Image Compression ◽  
Image Restoration ◽  
Compressive Sensing ◽  
Adaptive Filters ◽  
Processing Methods ◽  
Fast Transforms ◽  
Image Transforms

Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet, and alike. They proved to be very efficient in image compression, in image restoration, in image resampling, and in geometrical transformations and can be traced back to early 1970s. The paper reviews these methods, with emphasis on their comparison and relationships, from the very first steps of transform image compression methods to adaptive and local adaptive filters for image restoration and up to “compressive sensing” methods that gained popularity in last few years. References are made to both first publications of the corresponding results and more recent and more easily available ones. The review has a tutorial character and purpose.

Fast Transforms for Acoustic Imaging— Part I: Theory

2011 ◽  
Vol 20 (8) ◽  
pp. 2229-2240 ◽  
Author(s):  
F. P. Ribeiro ◽  
V. H. Nascimento
Keyword(s):  
Acoustic Imaging ◽  
Fast Transforms
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