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Volume 13 | Issue 6 | Year 2026 | Article Id. IJECE-V13I6P117 | DOI : https://doi.org/10.14445/23488549/IJECE-V13I6P117

Low-Complexity Scalable Image Coding with Integrated Encryption Using Layered Block Truncation Code

Prabakaran MP, Ravindiran Asaithambi, Maria Jesi P, Jeya Bright Pankiraj

Received Revised Accepted Published
21 Feb 2026 21 Mar 2026 23 Apr 2026 27 Jun 2026

Citation :

Prabakaran MP, Ravindiran Asaithambi, Maria Jesi P, Jeya Bright Pankiraj, "Low-Complexity Scalable Image Coding with Integrated Encryption Using Layered Block Truncation Code," International Journal of Electronics and Communication Engineering, vol. 13, no. 6, pp. 207-217, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I6P117

Abstract

Even though some researchers have performed Scalable Coding on Encrypted (SCE) images using Block Truncation Code (BTC), its base layer reconstruction quality is poor with low Peak Signal to Noise Ratio (PSNR). There is still space to utilize residual quantization strategies to optimize the enhancement layer and achieve higher PSNR without increasing bitrate. This paper presents SCE Images using Layered BTC (LBTC). The pseudorandom number (PRND) operation and XOR operation are performed on the input grey image, and then the BTC technique is applied on the encrypted Image to get the base image. Then the base image is first quantized and then subtracted from the encrypted Image to get the enhancement image. Both the Base image and the enhancement image are dispatched. The enhancement image is added with the base image at the recipient side and then decrypted by using the XOR operation and PRND to get the rebuilt full original Image. The base image is rebuilt using the BTC technique and then decrypted by using the XOR operation and PRND to get the rebuilt base original Image. The proposed LBTC technique gives a higher PSNR of 41.73 dB than existing techniques, which reflects that the rebuilt full original Image has superior image quality.

Keywords

Image decryption, Image encryption, Image reconstruction, Layered BTC, Secured signal processing.

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