Programmable multimedia platform based on reconfigurable processor for 8K UHD TV
Authors:
- 1 November 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Consumer Electronics
- Vol. 61 (4) , 516-523
Abstract
This paper introduces the world's first programmable video-processing platform for the enhancement of the video quality of the 8K (7680 × 4320) Ultra High Definition (UHD) TV that operates at a maximum rate of 60 frames per second. To support the massive computational load and memory bandwidth of 8K video, several key features have been implemented in the proposed platform such as symmetric multi-cluster architecture for data partitioning, a ring-data path between the clusters to support data pipelining, on-the-fly processing architecture for the reduction of the DDR bandwidth, and flexible hardware accelerators that facilitate the computation of common kernels by video-qualityenhancement algorithms. In addition, within a context of continuously evolving and changing UHD-TV video algorithms, system flexibility is crucial to support new algorithms and enhance competitiveness. The programmability of the main core of the proposed platform the reconfigurable processor (RP) makes it possible to upgrade the algorithms even after the hardware design is fixed. The proposed platform was embedded into the System on Chip (SoC), and a new 8K UHD-TV model that features this programmable solution is expected to appear on the market in the near future.Keywords
This publication has 21 references indexed in Scilit:
- An improved detail enhancement method for colorful image via guided image2014
- Color image enhancement by scaling the discrete wavelet transform coefficients2013
- Frame rate control for video streaming2011
- An image contrast enhancement method based on genetic algorithmPattern Recognition Letters, 2010
- Color calibration of multi-projector displays through automatic optimization of hardware settings2009
- A High-Performance Sum of Absolute Difference Implementation for Motion EstimationIEEE Transactions on Circuits and Systems for Video Technology, 2006
- Noise reduction by fuzzy image filteringIEEE Transactions on Fuzzy Systems, 2003
- Area-efficient parallel FIR digital filter implementations2002
- Adaptive Weights Smoothing with Applications to Image RestorationJournal of the Royal Statistical Society Series B: Statistical Methodology, 2000
- Low-level image processing by max-min filtersSignal Processing, 1988