Massively parallel wavelet based video codec for an intelligent-pixel mobile multimedia communicator

Mobile multimedia communication has rapidly become a significant area of research and development constantly challenging boundaries on a variety of technological fronts. The processing requirements for the capture, conversion, compression, decompression, enhancement, display, etc. of increasingly higher quality multimedia content places heavy demands even on current ULSI (ultra large scale integration) systems, particularly for mobile applications where area and power are primary considerations. The system presented in this paper is designed as a vertically integrated (3D) system comprising two distinct layers bonded together using Indium bump technology. The top layer is a CMOS imaging array containing analog-to-digital converters, and a buffer memory. The bottom layer takes the form of a configurable array processor (CAP), a highly parallel array of soft programmable processors capable of carrying out complex processing tasks directly on data stored in the top plane. Until recently, the dominant format of data in imaging devices has been analog. The analog photocurrent or sampled voltage is transferred to the ADC via a column or a column/row bus. In the proposed system, an array of analog-to-digital converters is distributed, so that a one-bit cell is associated with one sensor. The analog-to-digital converters are algorithmic current-mode converters. Eight such cells are cascaded to form an 8-bit converter. Additionally, each photosensor is equipped with a current memory cell, and multiple conversions are performed with scaled values of the photocurrent for colour processing.

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Parallel computation of the time-frequency power spectrum: analysis and comparison to the bispectrum

Lê

Egan

Dabke

2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479)

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Massively parallel wavelet based video codec for an intelligent-pixel mobile multimedia communicator

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Video compression with parallel processing

Video compression with parallel processing

Image capture using integrated 3D SoftChip technology

Parallel computation of the time-frequency power spectrum: analysis and comparison to the bispectrum

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