Abstract
The operations of conveyed information across the Internet have soar exponentially over the past two decades. Image compression is a significant approach to shrink an image. JPEG is the core prevailing still image compression for bandwidth preservation. So images could be ensued and transmitted earlier. In this paper, the anticipated JPEG algorithms manifest finer conclusions compared to conventional JPEG compressed data in terms of image encoded bits on images might be corrupted with speckle, Poisson, and salt-and-pepper noise. The proposed JPEG compression algorithms are built on image smoothening operators mean, median, harmonic mean, and contra-harmonic mean that enhances speed while minimizing memory necessities by tumbling the number of encoded bits.
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Srinivas, G., Naga Srinivasu, P., Srinivas Rao, T., Ramesh, C. (2018). Harmonic and Contra-Harmonic Mean-Centric JPEG Compression for an Objective Image Quality Enhancement of Noisy Images. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Computing and Informatics . Smart Innovation, Systems and Technologies, vol 78. Springer, Singapore. https://doi.org/10.1007/978-981-10-5547-8_14
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DOI: https://doi.org/10.1007/978-981-10-5547-8_14
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