Development of scalable coding of encrypted images using Modified Absolute Moment Block Truncation Code

Many researchers have worked on scalable coding for unencrypted images, and there is more space for research in scalable coding for encrypted images. This paper exposits a new method of scalable coding for encrypted images, especially for lossy compression images, using the Modified Absolute Moment...

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Bibliographic Details
Published in:Signal, image and video processing Vol. 18; no. 5; pp. 3973 - 3981
Main Authors: Pankiraj, Jeya Bright, Govindaraj, Vishnuvarthanan, Zhang, Yudong, Murugan, Pallikonda Rajasekaran, Kottaimalai, R., Jain, Paras, Thiagarajan, Arunprasath
Format: Journal Article
Language:English
Published: London Springer London 01.07.2024
Springer Nature B.V
Subjects:
Coding
Compression ratio
Computer Imaging
Computer Science
Encryption
Fourier transforms
Image acquisition
Image compression
Image Processing and Computer Vision
Image quality
Multimedia Information Systems
Original Paper
Pattern Recognition and Graphics
Pseudorandom
Random numbers
Signal processing
Signal to noise ratio
Signal,Image and Speech Processing
Vision
Modified Absolute Moment Block Truncation Code
Image encryption
Secured signal processing
Scalable coding on an encrypted image
Image reconstruction
Image decryption
ISSN:1863-1703, 1863-1711
Online Access:Get full text
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Summary:Many researchers have worked on scalable coding for unencrypted images, and there is more space for research in scalable coding for encrypted images. This paper exposits a new method of scalable coding for encrypted images, especially for lossy compression images, using the Modified Absolute Moment Block Truncation Code (MAMBTC) technique. The given input image is compressed using MAMBTC and then encrypted using a Pseudo-Random Number (PRNG) at the encryption phase. The PRNG is shared between the encoder and the decoder. At the decryption phase, the compressed pixel value is obtained by decryption using the PRNG and then reconstructed using MAMBTC, scaled by factor 2, and the Bilinear Interpolation Technique to acquire the original image. MAMBTC gives better image quality than Block Truncation Code (BTC), a higher PSNR of 36.32 dB, and a Compression ratio of 1.09, which makes the proposed system ready for signal processing applications.
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ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-023-02991-4