A Power Efficient Architecture for 2-d Discrete Wavelet Transform
نویسندگان
چکیده
The Discrete Wavelet Transform (DWT) forms the core of the JPEG2000 image compression algorithm. Since the JPEG2000 compression application is heavily data-intensive, the overall power dissipation is dominated by read and write operations in the memory subsystem. In our proposed architecture, low power has mainly been achieved by optimizing the memory architecture and the data access pattern. The proposed architecture is a Low-Power Z-Scan method. Different memory subsystem optimization techniques such as data access and computation restructuring, memory bank partitioning, and custom memory architectures are explored to arrive at a power-efficient DWT architecture.
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