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Multidimensional sensors, such as digital camera sensors in the visual sensor networks VSNs generate a huge amount of information compared with the scalar sensors in the wireless sensor networks WSNs. Processing and transmitting such data from low power sensor nodes is a challenging issue through their limited computational and restricted bandwidth requirements in a hardware constrained environment...
In this paper, flexible hardware architecture of multi-level decomposition Discrete Wavelet Transform (DWT) is proposed for image compression applications to eliminate redundant information from the transmitted images or video frames over the wireless channel. This architecture of DWT is described and synthesized with the Very High Speed Integrated Circuit (VHSIC) Hardware Description Language (VHDL)...
Several primary concern points should be deliberated in the wireless sensor network WSN design. When the networks are included with cameras, limitation in the image data sizes pose as a new problem. Hence there is a necessity to find new ways for data processing and communication. If the size of data could be minimized, image compression would reduce the memory requirement and thus communication costs...
One major complication in implementing the discrete two-dimensional wavelet transform to a platform with limited resources is the need for huge memory. This paper addresses memory-efficient implementation of the wavelet-based image coding requirements. These requirements are usually distinct by resource-limited platforms such as tiny wireless sensors, which may build a wireless sensor network (WSN)...
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