Image reconstruction using matched wavelet estimated from data sensed compressively using partial canonical identity matrix
This paper proposes a joint framework wherein lifting-based, separable, image-matched
wavelets are estimated from compressively sensed images and are used for the …
wavelets are estimated from compressively sensed images and are used for the …
Signal decomposition methods for reducing drawbacks of the DWT
Sažetak Besides many advantages of wavelet transform, it has several drawbacks, eg
ringing, shift variance, aliasing and lack of directionality. Some of them can be eliminated by …
ringing, shift variance, aliasing and lack of directionality. Some of them can be eliminated by …
Pansharpening of multispectral images using the nonseparable framelet lifting transform with high vanishing moments
Y Shi, X Yang, T Cheng - Information Fusion, 2014 - Elsevier
This paper proposes a novel nonseparable lifting scheme for wavelet frames with high
vanishing moments. A specific nonseparable framelet lifting transform (NFLT), combined …
vanishing moments. A specific nonseparable framelet lifting transform (NFLT), combined …
Statistical compressive sensing for efficient signal reconstruction and classification
Compressive sensing (CS) represents a signal processing technique for simultaneous
signal acquisition and compression that relies on signal dimensionality reduction. Statistical …
signal acquisition and compression that relies on signal dimensionality reduction. Statistical …
Off-the-shelf measurement setup for compressive imaging
While numerous works analyze the theoretical background of compressive sensing (CS)
and provide rich mathematical theory, few practical implementations exist and they mostly …
and provide rich mathematical theory, few practical implementations exist and they mostly …
Invertible update-then-predict integer lifting wavelet for lossless image compression
D Chen, Y Li, H Zhang, W Gao - EURASIP Journal on Advances in Signal …, 2017 - Springer
This paper presents a new wavelet family for lossless image compression by re-factoring the
channel representation of the update-then-predict lifting wavelet, introduced by Claypoole …
channel representation of the update-then-predict lifting wavelet, introduced by Claypoole …
Signal-matched wavelet design via lifting using optimization techniques
This paper proposes design of signal-matched wavelets via lifting. The design is modular
owing to lifting framework wherein both predict and update stage polynomials are obtained …
owing to lifting framework wherein both predict and update stage polynomials are obtained …
The lifting factorization of 2D 4-channel nonseparable wavelet transforms
B Liu, W Liu - Information Sciences, 2018 - Elsevier
Abstract One-dimensional (1D) wavelet transform was lifted successfully using the division
with remainder of univariate Laurent polynomials. However, division with remainder does …
with remainder of univariate Laurent polynomials. However, division with remainder does …
[PDF][PDF] LMS algorithm for adaptive transversal equalization of a linear dispersive communication channel
F Arslan - Review of Computer Engineering Research, 2020 - academia.edu
Adaptive filters are used extensively in statistical signal processing and offer a great
improvement in performance compared with the conventional fixed filters [1-7]. The subject …
improvement in performance compared with the conventional fixed filters [1-7]. The subject …
Restoration of soft x-ray laser images of nanostructures
We present advanced techniques for the restoration of images obtained by soft x-ray laser
microscopy. We show two methods. One method is based on adaptive thresholding, while …
microscopy. We show two methods. One method is based on adaptive thresholding, while …