G. Suseela ¹, Niharika Kumari ¹, Y. Asnath Victy Phamila ¹

Affiliations
1 VIT University, Chennai Campus, Chennai – 600127, Tamil Nadu, IN

Abstract

Objective: Image Compression is to shrink insignificance and redundancy of the image data and it is obligatory for efficient transmission and storage of images. Image data are self -descriptive and contains sensitive information, yet partial data will convey more information. Hence robust security mechanisms are required for defending and privacy protection of image data. A robust secured image compression scheme has been proposed in this paper. Methods: In this work two levels of security have been accomplished to improve the robustness of the encryption system. Torus Automorphism and Rubik’s cube principle are used for pixel scrambling and shuffling along with adaptive DWT based image compression. Findings: Extracting greatest image quality at a given bit-rate or compression ratio is the main goal of Image Compression. Experimental results have shown that the proposed system of secured image compression offers compression ratio of 97% and a bit rate of 0.25bpp and the scheme is highly robust with respect to the security parameters such as UACI (Unified Average Changing Intensity) and NPCR (Number of pixels Change Rate). Application: The proposed scheme is highly suitable for small hand held wireless communication gadgets such as mobile phones to upload/download on/from Internet, where fast and efficient on the fly image encryption and transmission are required.

Keywords

Compression, DWT, Encryption, Rubik’s Cube, Torus Automorphism.

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K. Kalaivani ¹, Y. Asnath Victy Phamila ¹

Affiliations
1 School of Computing Science and Engineering, VIT University, Chennai - 600127, Tamil Nadu, IN

Abstract

Objective: The objective of Image Fusion is to combine the relevant and essential information from several images into a single image, which is highly informative than any of the source images such that the resultant fused image will be more appropriate for human visual perception and for image processing tasks like segmentation, feature extraction and object recognition. Methods: This paper presents the basic concepts, various types and levels of fusion, literature review of non-transform and transform based image fusion techniques from the perspective of their applications, advantages and limitations. Findings: The performance of existing image fusion methods along with various assessment metrics that determine the quality of fused images are evaluated and theoretically analyzed. It is found that the computational complexity is considerably reduced in Discrete Cosine Transformation based methods. Applications: Image Fusion has been effectively applied to many fields such as Remote Sensing, Military affairs, Machine Vision, Medical imaging, and so on.

Keywords

Frequency Domain, Image Fusion, Multi-Focus, Quality Assessment Metrics, Spatial Domain.

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