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We can see that over the past few years, the number of people using the internet and the amount of information transmitted over the internet has grown to such a wide range. One of the best ways to reduce the image size is via image compression. In the compression of the still image, JPEG is better when it comes to bandwidth conservation. In this paper, we discussed an innovative JPEG compression algorithm with alpha-trimmed means based clustering. The proposed algorithm is expected to produce better results regarding MSE, PSNR and the number of bits transmitted when compared to the standard algorithms. The proposed JPEG algorithm enhances the speed and reduces the number of encoded bits, thereby reducing the amount of memory required. The reassembled image after decompression is as similar as the input image.
Vanitha Kakollu. 2018. \u201cAlpha Trimmed Mean based JPEG Compression for an Objective Image Quality Enhancement of Noisy and Noise less Images\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 17 (GJCST Volume 17 Issue F3): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 103
Country: India
Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision
Authors: Vanitha Kakollu, G. Narasimha, P. Chandrasekhar Reddy (PhD/Dr. count: 0)
View Count (all-time): 261
Total Views (Real + Logic): 6244
Total Downloads (simulated): 1666
Publish Date: 2018 01, Wed
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We can see that over the past few years, the number of people using the internet and the amount of information transmitted over the internet has grown to such a wide range. One of the best ways to reduce the image size is via image compression. In the compression of the still image, JPEG is better when it comes to bandwidth conservation. In this paper, we discussed an innovative JPEG compression algorithm with alpha-trimmed means based clustering. The proposed algorithm is expected to produce better results regarding MSE, PSNR and the number of bits transmitted when compared to the standard algorithms. The proposed JPEG algorithm enhances the speed and reduces the number of encoded bits, thereby reducing the amount of memory required. The reassembled image after decompression is as similar as the input image.
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