IMAGE WATERMARKING USING CRT THROUGH GRADIENT MAGNITUDE OF LAPLACIAN FILTER

Prajanto Wahyu, Adi and Pramudi, Arsiwi and Edy, Winarno IMAGE WATERMARKING USING CRT THROUGH GRADIENT MAGNITUDE OF LAPLACIAN FILTER. ISRITI.

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Abstract

Novel watermarking model is developed on this paper using laplacian filter from two previous watermarking models that use CRT algorithms. The first model is embedding the watermark on the random pixel on each single block which can degrade the homogeneous areas. The second model use the canny edge detection to determine the edges as embedding locations within binary representation without considering the gradient magnitude that causes less optimal result. The proposed model is developed from the laplacian filter to generate the gradient magnitude of the image regions as embedding locations. The higher gradient magnitude represents the better location for embedding. Bits of watermark are embedding from the location with the highest gradient magnitude to the lower gradient magnitudes according to the number of watermark bits. The proposed model has higher imperceptibility with average SSIM of 0.9996 than the conventional CRT with average SSIM of 0.9985. In compression test, the proposed model has higher robustness with average NC value of 0.6746 than the previous models that have NC average values of 0.6618 and 0.6616 correspondingly. Temporarily, in noise test, all of the models have the similar average NC values. The model has better visual quality of the watermarked image than the previous models that use block division and canny edge detection algorithm. It also has better robustness against compression.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty / Institution:	Fakultas Teknologi Informasi > Program Studi Teknik Informatika
Depositing User:	Jati Sasongko Wibowo
Date Deposited:	08 Apr 2020 14:23
Last Modified:	08 Apr 2020 14:23
URI:	https://eprints.unisbank.ac.id/id/eprint/6426

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