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A General Scheme For Dithering Multidimensional Signals, And A Visual Instance Of Encoding Images With Limited Palettes

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Attia, Mohamed (Author)
مؤلفين آخرين: Nazih, Waleed (Co-Author) , Al-Badrashiny, Mohamed (Co-Author) , Elsimary, Hamed (Co-Author)
المجلد/العدد: مج26, ع2
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2014
الصفحات: 202 - 217
DOI: 10.33948/0584-026-002-004
ISSN: 1319-1578
رقم MD: 973092
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
كلمات المؤلف المفتاحية:
Digital Signal Processing | Digital Image Processing | Dithering | Multidimensional Signals | Quantization Noise | Soft Vector Clustering
رابط المحتوى:
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المستخلص: The core contribution of this paper is to introduce a general neat scheme based on soft vector clustering for the dithering of multidimensional signals that works in any space of arbitrary dimensionality, on arbitrary number and distribution of quantization centroids, and with a computable and controllable quantization noise. Dithering upon the digitization of one-dimensional and multi-dimensional signals disperses the quantization noise over the frequency domain which renders it less perceptible by signal processing systems including the human cognitive ones, so it has a very beneficial impact on vital domains such as communications, control, machine-learning, etc. Our extensive surveys have concluded that the published literature is missing such a neat dithering scheme. It is very desirable and insightful to visualize the behavior of our multidimensional dithering scheme; especially the dispersion of quantization noise over the frequency domain. In general, such visualization would be quite hard to achieve and perceive by the reader unless the target multidimensional signal itself is directly perceivable by humans. So, we chose to apply our multidimensional dithering scheme upon encoding true-color images – that are 3D signals – with palettes of limited sets of colors to show how it minimizes the visual distortions – esp. contouring effect – in the encoded images.

ISSN: 1319-1578