彩色量化对图像变焦的影响研究

Mohammed Alzaber, Zaid Al-Huda, Hui Yang
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引用次数: 1

摘要

彩色图像量化是有损图像压缩的一种形式,是在不明显降低图像质量的情况下减少图像中唯一颜色的数量的过程。最初,颜色量化是为了满足显示设备的硬件限制而开发的,即只允许同时显示有限数量的颜色。在这项工作中,主要是为了研究颜色的数量和图像的物理大小(以像素为单位)是如何相关的,我们尝试使用一种新的算法,当我们缩小图像时减少颜色(应用量化),当我们放大图像时增加颜色(恢复丢失的颜色)(动态颜色量化)。我们的实验显示了动态量化与图像质量之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Studying Effects of Color Quantization an Image Zooming
Color image quantization, a form of lossy image compression, is the process of reducing the number of unique colors in an image without appreciable reduction in quality. Originally color quantization was developed for satisfying hardware constraints of the display devices that allowed only a limited number of colors to be displayed simultaneously. In this work primarily motivated by an attempt to study how the number of colors and the physical size of an image (in pixels) are related and we try to use a new algorithm, which reduces colors (apply quantization) when we zoom out the image and increases colors (restore lost colors) when we zoom in the image (dynamic color quantization). Our experiments show the relationship between dynamical quantization and image quality using different approaches.
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