Harmonic and Contra-Harmonic Mean-Centric JPEG Compression for an Objective Image Quality Enhancement of Noisy Images
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. S
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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.
1 Introduction A bunch of symbols are gathered by the encoder once after the input image f(x, y) has been passed to it. And then the resultant encoded image is passed to the decoder after the transmission through the channel. Finally restructured image f′(x, y) is generated
G. Srinivas (&) Department of IT, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam 531163, India e-mail: [email protected] P. Naga Srinivasu Department of CSE, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam 531163, India e-mail: [email protected] T. Srinivas Rao Department of CSE, GIT,GITAM University, Visakhapatnam 531162, India e-mail: [email protected] Ch. Ramesh Department of CSE, Aditya Institute of Technology and Management, Tekkali, India e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2018 S.C. Satapathy et al. (eds.), Smart Computing and Informatics, Smart Innovation, Systems and Technologies 78, https://doi.org/10.1007/978-981-10-5547-8_14
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by the decoder. In lossless compression strategy, the output f′(x, y) is exact the reproduction of f (x, y). If not, there would be some level of misinterpretation is in the appearance of the reassembled image. The JPEG is the acronym for Joint Photographic Experts Group which was named after the committee who had proposed the approach of compressing a raw image, is a noticeable lossy compression approach for images [1–5]. The information that the image is represented imprecisely with JPEG compression approach, but JPEG has a benefit that consumes minimal memory, and the data in the uncompressed image appears to be very alike it lags only in terms of the quality considerably. But the compressed images will roughly look same as the original images. The JPEG approach normalizes the giant frequencies of the image that the human eye cannot recognize. JPEG compression is the foremost approach for smoothing color/texture/tone conversion of the image.
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JPEG is one such straightforward approach for compressing the image that could be accomplished by the following: 1. The original image is being split into 8 8-pixel blocks. In case if the image size is not absolutely multiple of 8, then add zeros in e
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