کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
978159 | 1645121 | 2007 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A new nonlinear quantizer for image processing within nonextensive statistics
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موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
فیزیک ریاضی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A new nonlinear quantizer for image processing within nonextensive statistics A new nonlinear quantizer for image processing within nonextensive statistics](/preview/png/978159.png)
چکیده انگلیسی
In 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).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 381, 15 July 2007, Pages 420-430
Journal: Physica A: Statistical Mechanics and its Applications - Volume 381, 15 July 2007, Pages 420-430
نویسندگان
Ilker Kilic, Ozhan Kayacan,