Sketch Based Data Retrieval Using Reversible Data Hiding on Images

Authors

Dipika Birari, Research Scholar
Faculty of Computer Engineering, Pacific Academy of Higher Education and Research University, Udaipur, India.
Dilendra Hiran
Pacific Institute of Computer Application, Udaipur, India.
Vaibhav Narawade
Department of Computer Engineering, Ramrao Adik Institute of Technology, Navi Mumbai, India.

Abstract

Sketch Based Image Retrieval as name suggests is a branch of image retrieval that searches the images based on sketches. The sketches bridge the gap between imagination and real images. Sketches act as powerful searching tool in image retrieval. It efficiently uses the data hiding technique, which is a watermarking technique and can be used for embedding messages into images. A message can be embedded into color images without changing its grayscale version. Embedding of messages was thus done using unchanged gray version. It can also extract the messages. This unchanged grayscale version is maintained from message embedding to extraction process. This concept of watermarking generates SBIDR valuable, because many applications or algorithms for color images are based on its corresponding grayscale version. Embedding of data is carried out into in three-color channels of color image and in gray value of Sketch Image. Sketch image is encrypted with key, which will be required at the time of message extraction process after SBIR. In this way grayscale invariance is maintained which made the Sketch Based Retrieval more effective.