Study of finite word-length effect on the performance of watermarking methods
by Himanshu Agarwal; Balasubramanian Raman
International Journal of Computational Vision and Robotics (IJCVR), Vol. 5, No. 2, 2015

Abstract: This present paper represents a simple framework for the novel study of the effect of finite word-length (FWL) on the performance of different watermarking methods in the computer environment. We have evaluated the performance of discrete wavelet transform (DWT) and singular value decomposition (SVD)-based watermarking methods at different word-lengths and found a reliable word-length (the word-length up to which change in the performance is significant and beyond this, is unnoticeable) for each watermarking method. The reliable word-length can be used as a new benchmark for comparing different watermarking methods for their real-time implementation, where optimisation with respect to memory, implementation area, performance, and power consumption are the foremost demand.

Online publication date: Mon, 13-Apr-2015

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