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首页> 外文期刊>International Journal of Wireless & Mobile Networks >DCT & DWT Images Compression Algorithms in Wireless Sensors Networks: Comparative Study and Performance Analysis
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DCT & DWT Images Compression Algorithms in Wireless Sensors Networks: Comparative Study and Performance Analysis

机译:无线传感器网络中的DCT和DWT图像压缩算法:比较研究和性能分析

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The recent availability of inexpensive hardware has enabled the new research field of wireless sensor networks. This is a network of interconnected devices, capable of retrieving images from the environment. The nodes, in this type of network, have very limited resources, in terms of processing unit, bandwidth and energy. Efficient coding of the image content is therefore important. In Wireless Sensors Network, many image compression algorithms are used. Indeed, the most popular methods such as JPEG or JPEG2000 can yield higher energy consumption than when transmitting uncompressed images. However, the most of the compression algorithms are inapplicable on sensor nodes because the limitation in terms of memory as well as processor speed. To solve this problem, we use DWT and DCT image compression algorithm that allows an efficient trade- off between energy consumption and image distortion. These experimental results demonstrated by the performance evaluation are in terms of image quality, execution time and memory space, as shown in this paper.
机译:廉价硬件的最新可用性使无线传感器网络成为新的研究领域。这是一个互连设备的网络,能够从环境中检索图像。就处理单元,带宽和能量而言,这种类型的网络中的节点资源非常有限。因此,图像内容的有效编码很重要。在无线传感器网络中,使用了许多图像压缩算法。实际上,与传输未压缩图像相比,诸如JPEG或JPEG2000之类的最流行方法可以产生更高的能耗。但是,大多数压缩算法不适用于传感器节点,因为在内存以及处理器速度方面存在限制。为了解决这个问题,我们使用DWT和DCT图像压缩算法,可以在能耗和图像失真之间进行有效的权衡。通过性能评估证明的这些实验结果涉及图像质量,执行时间和存储空间,如本文所示。

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