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This paper proposes an efficient lossless coding scheme for still images. The scheme employs a block-adaptive prediction technique to remove spatial redundancy in a given image. The resulting prediction errors are encoded using context-adaptive arithmetic coding. Several coding parameters, which must be sent to a decoder as side information, are iteratively(More)
SUMMARY A highly efficient Iossless encoding method for static images is proposed. In this method, multiple linear predic-tors are created for each image and adaptive prediction that responds to the local structure of images such as edges and textures is achieved by switching between these predictors at the block level. Furthermore, the probability density(More)
Although context memory or configuration cache is a key mechanism for quick dynamic reconfiguration of multi-context Dynamically Reconfigurable Processing Array (DRPA), it requires a large amount of area and energy. In order to save them, methods to remove the context memory from multi-context DRPA are proposed. In order to keep a context without switching,(More)
Image recognition algorithm is becoming one of the most important technology for intelligent vehicle application such as Advanced Driver Assistance Systems (ADAS), however its computational costs are still considerably high. To realize such applications using image recognition algorithm as hard real-time task with low power consumption, we have developed(More)
CMA (Cool Mega-Array) is a high energy-efficiency reconfigurable accelerator for battery-driven mobile devices. It consists of a large processing element (PE) array without memory elements for mapping the data-flow graph of the application being executed, a small simple programmable micro-controller for data management, and a data memory. Unlike traditional(More)
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