A Survey on Lossy Image compression Technique based on Block Truncation Coding

Authors

  • Arjun bariya, Dr.Anubhuti khare

Keywords:

Image Processing, Compression, BTC Scheme, storage, resolution, decoding, transmission, coding, mean, bit plane, pixel

Abstract

The Block Truncation Coding (BTC) technique has gained significant attention in recent years as a simple yet effective coding method for achieving good-quality image restoration. It works by computing the first two statistical moments of an image: the mean and the variance. This approach reduces the computational complexity compared to traditional coding methods, such as transform-based or hybrid coding.

In this paper, we present a review of image compression techniques, with a focus on BTC. Various image compression strategies adopted for lossy image compression are discussed, highlighting their acceptance and applications. Additionally, the fundamentals of image processing are revisited to provide a foundation for understanding BTC and its role in efficient image compression.

References

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How to Cite

Arjun bariya, Dr.Anubhuti khare. (2025). A Survey on Lossy Image compression Technique based on Block Truncation Coding . International Journal of Research & Technology, 4(3), 1–5. Retrieved from https://ijrt.org/j/article/view/42

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