An Efficient Method for Secure Image Compression
Priya C1, Ramya C2, Agashthiya R V3, Hema R4, Mythily G5, Preethi V P6

1Priya C, Associate Professor, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

2Ramya C, Associate Professor, Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore (TamilNadu), India.

3Agashthiya R V, Student, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

4Hema R, Student, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

5Mythily G, Student, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

6Preethi V P, Student, Department of Electronics and Communication Engineering, Karpagam College of Engineering, Coimbatore (TamilNadu), India.

Manuscript received on 04 April 2019 | Revised Manuscript received on 11 April 2019 | Manuscript Published on 26 April 2019 | PP: 266-270 | Volume-8 Issue-6S April 2019 | Retrieval Number: F60690486S19/19©BEIESP

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Abstract: In this modern world with developing technology there exist demand for data and information transmission in a safe and rapid manner. There exists a need for compressing these images for storage and communication purposes. Image compression is to compress the image to produce good quality image and to reduce the storage space. This algorithm will provide efficient image compression without reducing the quality of image. To retain the secrecy of the image RSA encryption algorithm is used for encrypting and decrypting the image in a secured manner followed by SPIHT algorithm for decomposition and encoding. Here in this paper ETC and CTE methods are adopted and compared. The Lossless image Encryption then Compression (ETC) system yields high compression ratio, high PSNR when compared with CTE system. The performance parameters like Compression Ratio, PSNR (in dB), MSSIM are tabulated.

Keywords: Image Compression, SPIHT, DWT, RSA, PSNR.
Scope of the Article: Communication