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This chapter describes the process of mapping the image compression algorithm SPIHT onto reconfigurable logic architecture.
This paper considers the design of a lossy image compression algorithm dedicated to color still images.
Moreover, the image compression algorithm introduces complexity and, hence, higher power consumption.
Fig. 1 High-level view of the proposed image compression algorithm.
Our proposed image compression algorithm was tested on true colour and YCbCr layered images at high compression ratios.
The proposed implementation scheme of the image compression algorithm overcomes the computation and energy limitation of individual nodes by sharing the processing of tasks.
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Image compression algorithms?
Image compression algorithms based on wavelet transform can achieve ideal effect on optical image, while cannot do well in SAR image compression.
The few existing solutions are specific to video and image compression algorithms used and require modification to the video encoders [1, 2].
To achieve high compression efficiency, the main image compression algorithms used in wireless sensor networks are the high-complexity, state-of-the-art image compression standards, such as JPEG2000.
In the experiments, we show that on a set of benchmark images our approach has found filter banks that perform better than the existing filter banks in different image compression algorithms and at different compression ratios.
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