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Performance Analysis Of Interpolations Method For Mobile Image Sharing Compression

Natasha, Abd Hamid (2015) Performance Analysis Of Interpolations Method For Mobile Image Sharing Compression. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Performance Analysis Of Interpolations Method For Mobile Image Sharing Compression.pdf - Submitted Version

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Abstract

This research focuses on the development of new lossy image compression algorithm based on interpolations specifically for mobile pre-transmission image sharing. By using combinations of image interpolations, the algorithm will compress the original image file into a significantly smaller size while maintaining the image quality and resolution of the transmitted image. During the preliminary test, numbers of interpolations have been tested such as bilinear, box, nearest neighbour, bicubic and Lanczos. Based on the best performance in terms of small memory output and high Peak signal-to-noise ratio (PSNR), the combination of bilinear and Lanczos is selected. Thus, the compression algorithm is named as Bilinear-Lanczos (BL) where the input image will be downscaled using bilinear interpolation then will be upscaled back using Lanczos interpolation. Compared to other pre-transmission compression for mobile image sharing, BL reshapes back the compressed image into the original size to enhance the quality of the transmitted image. The comparison between BL and Whatsapp, WeChat, Telegram, BeeTalk, Viber and KakaoTalk mobile app compression shown that BL outperforms all of the conventional image sharing apps in terms of image quality, file size and resolution of the compressed image. Based on the results, it shows that BL has the potential to be embedded in mobile social apps where the compressed image is smaller in order to maintain the real time performance of the image sharing and the shared image is more detail and high quality compared to current available social apps that support image sharing.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Data compression (Computer science), Image processing
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Library > Final Year Project > FKEKK
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 28 Apr 2016 06:23
Last Modified: 28 Apr 2016 06:23
URI: http://digitalcollection.utem.edu.my/id/eprint/16455

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