Abstract
The present paper proposes a new hybrid image compression method via the incorporation of the methods, namely Singular Values Decomposition (SVD), Discrete Wavelet Transform (DWT), and Absolute Moment Block Truncation Coding (AMBTC). In order to maneuver these unified methods, DWT compression gives high compression, whereas SVD gives a low compression ratio but gives high image quality. In our new method, the image has firstly compressed with SVD and then further compressed by DWT and AMBTC. The image compressed by SVD is the input image for DWT, and it breaks up into its approximate coefficients and detail coefficients. Further, only approximate image is coded through AMBTC and details images are discarded because of containing less significant data. The newly proposed image compression algorithm has been checked on different natural images, and the results have been compared with other standard methods like BTC, AMBTC, and DWT-AMBTC. The new technique gets a high compression ratio of 20:1 and bitrates to reach 0.4 bits per pixel with good image quality. The objective and subjective results of our method are better than the other compression techniques. The goal of this idea is to attain high compression, and the high compression ratio is received comparatively higher than all other methods with comparable PSNR values for all images.
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Ranjan, R., Kumar, P. (2022). Absolute Moment Block Truncation Coding and Singular Value Decomposition-Based Image Compression Scheme Using Wavelet. In: Sharma, H., Shrivastava, V., Kumari Bharti, K., Wang, L. (eds) Communication and Intelligent Systems . Lecture Notes in Networks and Systems, vol 461. Springer, Singapore. https://doi.org/10.1007/978-981-19-2130-8_72
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DOI: https://doi.org/10.1007/978-981-19-2130-8_72
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