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Adaptive-Quality Image Compression Algorithm

2016; Volume: 8; Issue: 3/4 Linguagem: Inglês

10.5121/ijma.2016.8402

0975-5934

Abdel Rahman Alzoubaidi, Tamer Al-Sous, Hussein Al-Bahadili,

Advanced Image Processing Techniques

This paper presents the description and performance evaluation of a new adaptive-quality image compression (AQIC) algorithm. The compression ratio (C) and Peak Signal to Noise Ratio (PSNR)achieved by the new algorithm are evaluated through a number of experiments, in which a number of widely-used images of large and small sizes are compressed.In all experiments, C and PNSR achieved by the new algorithm are compared against those achieved by the PNG lossless compression image formats, JPEG lossy compression image format, and ZIP and WinRAR lossless compression tools.For all experiments the new algorithm provides C≈1.6, which is higher than those achieved by PNG, ZIP, and WinRAR, and lower than JPEG; and a PNSR of more than 30 dB, which is better than that achieved by JPEG.