Computational Complexity Evaluation of Reversible Integer to Integer Wavelet Transforms Used in IoT Systems
Kesavan Gopal, Gandi Kalyani, Goli Lok Prakash Raju, Gajulapalle Revanthreddy, Vurukuti Prudhvi Raj Yadav Potti Koteswara Rao · Journal of Emerging Technologies and Innovative Research · 2021
Internet of Things (IoT) is an emerging area of research primarily focusing on automation, resulting in cost benefits. IoT and embedded systems deployed in the field generally has limited processing and battery capability. However, for transmission of video, image and audio data over IoT communication environment, requires heavy processing capability at the edge nodes and need to consume least power to sustain the working of systems. To achieve the system efficiency, either the processing capability of the edge node is to be improved or the processing algorithm complexity is to be reduced. For IoT based embedded system design, predicting and estimating the complexity of the computations involved in processing is very important in order to implement the system. Many of the image, video and audio processing standards uses wavelet transform as its core for energy compaction of data, hence it is important to do the computational complexity analysis of such transforms. Integer-to-Integer wavelet transforms is the widely used method for applications requiring reversibility like lossless compression. In this paper, computational complexity of various integer-to-integer wavelet transforms namely (1) 2/6 Transform (2) 2/10 Transform (3) SPB Transform (4) SPC Transform are calculated, implemented and analyzed.