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DCT-Based Color Image Compression Algorithm Using an Efficient Lossless Encoder | IEEE Conference Publication | IEEE Xplore

DCT-Based Color Image Compression Algorithm Using an Efficient Lossless Encoder


Abstract:

To enhance the compression ratio of color still image compression, this paper proposes an efficient lossy image compression algorithm using a new efficient lossless encod...Show More

Abstract:

To enhance the compression ratio of color still image compression, this paper proposes an efficient lossy image compression algorithm using a new efficient lossless encoder. Firstly, the pre-processing, including mean removing and YCbCr transform, is applied to image. Then, this paper applies discrete cosine transform (DCT) to reduce spatial correlation and concentrate the energy of the image. An iterative process based on the bisection method is used to determine the required threshold and control compression quality via achieving the prefixed peak signal-to-noise ratio (PSNR). The next step is applying adaptive scanning to each transform coefficient block to get better compression performance. The final step is the application of a modified lossless encoder to optimize the compression algorithm according to the statistical characteristics of the DCT coefficients. The format of modified encoder is suitable for entropy encoding. Compared with other two algorithms, the experimental results show that the proposed algorithm has better performance in terms of subjective and objective evaluation.
Date of Conference: 12-16 August 2018
Date Added to IEEE Xplore: 28 February 2019
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Conference Location: Beijing, China
Citations are not available for this document.

I. Introduction

With the rapid development of society and technology, people have raised higher demand on both the quality and quantity of images, which has led to the increasing requirement of digital image’s storage space and transmission bandwidth. Therefore, on the premise of ensuring the quality of image, how to reduce the amount of data has become the key research direction in the field of image processing.

Cites in Papers - |

Cites in Papers - IEEE (7)

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1.
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Cites in Papers - Other Publishers (10)

1.
Shilpa Narlagiri, V. Malathy, Kedhareshwar Rao Vanamala, Sri Sai Sathyanarayana Ganja, "Enhanced Discrete Cosine Transform Image Compression for Ultra-High-Resolution Imagery", Power Engineering and Intelligent Systems, vol.1246, pp.97, 2025.
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Gangtao Xin, Pingyi Fan, "Soft Compression for Lossless Image Coding Based on Shape Recognition", Entropy, vol.23, no.12, pp.1680, 2021.
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Umesh Maru, Gajendra Sujediya, Yashika Saini, "Color Image Encryption and Compression Using DCT in Joint Process", Proceedings of International Conference on Communication and Computational Technologies, pp.97, 2021.
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References

References is not available for this document.