Block compressed sensing of natural images
L Gan - 2007 15th International conference on digital signal …, 2007 - ieeexplore.ieee.org
Compressed sensing (CS) is a new technique for simultaneous data sampling and
compression. In this paper, we propose and study block compressed sensing for natural …
compression. In this paper, we propose and study block compressed sensing for natural …
The impact of state-of-the-art techniques for lossless still image compression
A great deal of information is produced daily, due to advances in telecommunication, and
the issue of storing it on digital devices or transmitting it over the Internet is challenging. Data …
the issue of storing it on digital devices or transmitting it over the Internet is challenging. Data …
Windows Media Video 9: overview and applications
S Srinivasan, PJ Hsu, T Holcomb, K Mukerjee… - Signal Processing …, 2004 - Elsevier
Microsoft® Windows Media 9 Series is a set of technologies that enables rich digital media
experiences across many types of networks and devices. These technologies are widely …
experiences across many types of networks and devices. These technologies are widely …
Adaptive compressed sampling based on EMD for wireless sensor networks
W Wang, J Chen, Y Zhang, J **a… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Image acquisition and communication in wireless sensor networks (WSNs) are key issues
for some applications that require image sensing. Lowering the sampling rate and reducing …
for some applications that require image sensing. Lowering the sampling rate and reducing …
Context-based entropy coding of block transform coefficients for image compression
C Tu, TD Tran - IEEE Transactions on Image Processing, 2002 - ieeexplore.ieee.org
It has been well established that state-of-the-art wavelet image coders outperform block
transform image coders in the rate-distortion (RD) sense by a wide margin. Wavelet-based …
transform image coders in the rate-distortion (RD) sense by a wide margin. Wavelet-based …
Low-complexity and energy efficient image compression scheme for wireless sensor networks
Q Lu, W Luo, J Wang, B Chen - Computer Networks, 2008 - Elsevier
Currently most energy-constrained wireless sensor networks are designed with the object of
minimizing the communication power at the cost of more computation. To achieve high …
minimizing the communication power at the cost of more computation. To achieve high …
Spectral graph wavelets and filter banks with low approximation error
A Sakiyama, K Watanabe… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We propose filter banks in the graph spectral domain, where each filter is defined by a sum
of sinusoidal waves. The main advantages of these filter banks are that (a) they have low …
of sinusoidal waves. The main advantages of these filter banks are that (a) they have low …
Ensemble sparse models for image analysis and restoration
Methods and systems for recovering corrupted/degraded images using approximations
obtained from an ensemble of multiple sparse models are disclosed. Sparse models may …
obtained from an ensemble of multiple sparse models are disclosed. Sparse models may …
Hallucinating face in the DCT domain
In this paper, we propose a novel learning-based face hallucination framework built in the
DCT domain, which can produce a high-resolution face image from a single low-resolution …
DCT domain, which can produce a high-resolution face image from a single low-resolution …
Image coding using dual-tree discrete wavelet transform
In this paper, we explore the application of 2-D dual-tree discrete wavelet transform (DDWT),
which is a directional and redundant transform, for image coding. Three methods for …
which is a directional and redundant transform, for image coding. Three methods for …