Acoustic image estimation using fast transforms

2016 ◽  
Author(s):  
Vitor H. Nascimento ◽  
Mateus C. Silva ◽  
Bruno S. Masiero
Keyword(s):  
Acoustic Image ◽  
Image Estimation ◽  
Fast Transforms

The expert estimation based analysis of the EEG acoustic image in bioacoustic corrections

2012 ◽  
Author(s):  
K. V. Konstantinov ◽  
M. K. Leonova ◽  
D. B. Miroshnikov ◽  
K. K. Konstantinova ◽  
T. V. Avaliani
Keyword(s):  
Acoustic Image ◽  
Expert Estimation

Design of embedded acoustic image acquisition system for wireless sensor network

2021 ◽  
pp. 1-8
Author(s):  
Xiaoping Huang ◽  
Fangyi Wen ◽  
Zhongxin Wei
Keyword(s):  
Transmission Rate ◽  
Image Acquisition ◽  
Transmission System ◽  
Video Data ◽  
Wireless Transmission ◽  
Acquisition System ◽  
Wireless Sensor ◽  
Acoustic Image ◽  
Image Acquisition System ◽  
Embedded Image

In recent years, with the development of communication technology, embedded computing technology and sensor technology, it has become increasingly mature. Micro sensors with sensing, computing and communication capabilities have appeared in large numbers and developed rapidly, making wireless sensor networks widely used. People put forward higher requirements for the accuracy, reliability and flexibility of the image acquisition system. The image transmission system using analog technology not only has low image quality, but also has a serious waste of system resources, is not easy to form a complex network structure, and has poor functional scalability. In view of the actual needs of the current image acquisition and wireless transmission system, based on embedded technology, image acquisition, processing technology and network transmission technology, this paper proposes and designs a low-cost, high-reliability embedded image acquisition and wireless transmission system. Experimental tests show that this system has reasonable design, high video coding efficiency, good image continuity, stable operation, and basically realizes the display, storage and playback functions of the collected video data. Improve the transmission rate of the system and reduce the distortion caused by compression in terms of image compression. At the same time, it supports multiple image resolutions, frame rate options and multiple video formats, and the system’s transmission rate can adapt to the state of the network. This design fulfills the basic requirements of an embedded image acquisition system based on network technology, and provides a good foundation for the next development of a gigabit network-based image acquisition system.

Fast-resist image estimation methodology using light-intensity distribution

1995 ◽  
Author(s):  
Keisuke Tsudaka ◽  
Manabu Tomita ◽  
Minoru Sugawara ◽  
Hiroichi Kawahira ◽  
Satoru Nozawa
Keyword(s):  
Light Intensity ◽  
Intensity Distribution ◽  
Light Intensity Distribution ◽  
Image Estimation

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.

scholarly journals Smart Ocean: A New Fast Deconvolved Beamforming Algorithm for Multibeam Sonar

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4013 ◽  
Author(s):  
Jie Huang ◽  
Tian Zhou ◽  
Weidong Du ◽  
Jiajun Shen ◽  
Wanyuan Zhang
Keyword(s):  
High Frequency ◽  
Real Data ◽  
Side Lobe ◽  
Tunnel Effect ◽  
Computation Complexity ◽  
Acoustic Image ◽  
Multibeam Sonar ◽  
Sonar System ◽  
Topographic Survey ◽  
Beamforming Algorithm

A new fast deconvolved beamforming algorithm is proposed in this paper, and it can greatly reduce the computation complexity of the original Richardson–Lucy (R–L algorithm) deconvolution algorithm by utilizing the convolution theorem and the fast Fourier transform technique. This algorithm makes it possible for real-time high-resolution beamforming in a multibeam sonar system. This paper applies the new fast deconvolved beamforming algorithm to a high-frequency multibeam sonar system to obtain a high bearing resolution and low side lobe. In the sounding mode, it restrains the tunnel effect and makes the topographic survey more accurate. In the 2D acoustic image mode, it can obtain clear images, more details, and can better distinguish two close targets. Detailed implementation methods of the fast deconvolved beamforming are given, its computational complexity is analyzed, and its performance is evaluated with simulated and real data.

scholarly journals Motion correction for myocardial T1 mapping using image registration with synthetic image estimation

2011 ◽  
Vol 67 (6) ◽  
pp. 1644-1655 ◽  
Author(s):  
Hui Xue ◽  
Saurabh Shah ◽  
Andreas Greiser ◽  
Christoph Guetter ◽  
Arne Littmann ◽  
...  
Keyword(s):  
Image Registration ◽  
Motion Correction ◽  
T1 Mapping ◽  
Synthetic Image ◽  
Image Estimation ◽  
Myocardial T1
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