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Enhanced interpolation-based AMBTC image compression using Weber’s law

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Abstract

In this paper, we propose a new enhanced absolute moment block truncation coding (AMBTC) image compression method based on interpolation. The proposed compression method takes the human visual system characteristics into the account using Weber’s law while compressing the image so that perceived image quality is maintained. Further, the low and high mean values of AMBTC trios are efficiently represented along with bit-plane so that number of bits representing the bit-plane can be reduced. As a result, the proposed method significantly reduces the number of bits to represent the compressed image without any visual image quality degradation.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2021R1I1A3049788) and Brain Pool program funded by the Ministry of Science and ICT through the National Research Foundation of Korea (2019H1D3A1A01101687, 2021H1D3A2A01099390).

Symbol table

Following symbols/abbreviations have been used.

Symbol :

Meaning.

pi:

ith pixel of image block.

IBj:

jth image block.

m × m :

Dimensions of an image block.

HxH:

Dimensions of the image.

Meanj:

Average of pixels of jth block of the image.

Lowj:

Low quantization level of jth block of the image.

Highj:

High quantization level of jth block of the image.

Bj:

Bit-plane of jth block of the image.

∆I :

change in light intensity.

I :

original light intensity.

C :

constant.

PSNR :

Peak signal to noise ratio.

bpp :

Bits per pixel.

Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Delhi Technological University, Delhi, India

    Rajeev Kumar

  2. Department of Electronics and Communication, Jamia Milia Islamia University, Delhi, India

    Neeraj Kumar

  3. Department of Cyber Security, Kyungil University, Gyeongsan, South Korea

    Ki-Hyun Jung

Authors
  1. Rajeev Kumar
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  2. Neeraj Kumar
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  3. Ki-Hyun Jung
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Corresponding author

Correspondence to Ki-Hyun Jung.

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Kumar, R., Kumar, N. & Jung, KH. Enhanced interpolation-based AMBTC image compression using Weber’s law. Multimed Tools Appl 81, 20817–20828 (2022). https://doi.org/10.1007/s11042-022-12634-4

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  • DOI: https://doi.org/10.1007/s11042-022-12634-4

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