Abstract

Image watermarking is one of the efficient technique to send the secrete information from sender to receiver. The concept of information hiding using mosaic images is also an efficient technique of keeping the information secretes. The existing technique of information hiding using LSB based embedding of information and then using greedy search algorithm for the searching of images tile into the database. The technique implemented in the literature so far provides more error rate and also the time complexity is greater, since it uses the concept of greedy search for the searching of most similar image tile in the database. Our proposed technique does not require searching of the tile images resulting in a lower computational time. The proposed technique is based on the concept of watermarking, where the secrete image is converted into a number of tiles and then each of the tile image is converted into binary value. These binary values are used as a secrete key from which the cover image is encrypted and decrypted.

Highlights

  • MOSAIC is a type of artwork created by composing small pieces of materials like stone, glass, tile, etc. made-up in earliest era, they are still used in many applications today

  • MOSAIC is a type of artwork created by composing small pieces of materials invented in ancient time they are still used in many applications today

  • Due to the use of small tile images in the proposed method, which are the fragments of the surreptitious image, it is originate in this study that the mainly efficient characteristic, which affects the largely visual manifestation of the resulting mosaic image, is color

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Summary

Introduction

MOSAIC is a type of artwork created by composing small pieces of materials like stone, glass, tile, etc. made-up in earliest era, they are still used in many applications today. Due to the use of small tile images in the proposed method, which are the fragments of the surreptitious image, it is originate in this study that the mainly efficient characteristic, which affects the largely visual manifestation of the resulting mosaic image, is color. They focus on extracting color distributions from images to define an appropriate image similarity measure for use in target image selection in this study [13].

Result
CONCLUSION
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