Kilic I.Kayacan O.2024-07-222024-07-22200703784371http://akademikarsiv.cbu.edu.tr:4000/handle/123456789/19265In this study, we introduce a new nonlinear quantizer for image processing by using Tsallis entropy. Lloyd-Max quantizer is commonly used in minimizing the quantization errors. We report that the new introduced technique works better than Lloyd-Max one for selected standard images and could be an alternative way to minimize the quantization errors for image processing. We, therefore, hopefully expect that the new quantizer could be a useful tool for all the remaining process after image quantization, such as coding (lossy and lossless compression). © 2007 Elsevier B.V. All rights reserved.EnglishError analysisStatistical mechanicsVector quantizationImage quantizationNonlinear quantizationQuantization errorsTsallis statisticsImage processingArticle10.1016/j.physa.2007.03.028