一种面向突出的图像分割方法及其应用

Jiying Zhao, Y. Shimazu, K. Ohta, R. Hayasaka, Y. Matsushita
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引用次数: 25

摘要

提出了一种新的区域重要性自动确定方法,并将其应用于静止图像压缩。我们采用与人类相同的模糊技术来确定重要区域,将较高的比特率分配给重要区域,而将较低的比特率分配给图像的其他部分。因此,它既可以提高重要部分的质量,又可以降低整体比特率,体现了人的感觉。本文主要介绍了重要区域的确定,简要介绍了重要自适应图像编解码器,最后给出了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Outstandingness Oriented Image Segmentation and its Application
This paper presents a novel automatic method to determine region importance, and its application to still image compression. We use fuzzy technique to determine important regions in the same manner as human beings do, allocate higher bitrate to important regions while lower to the rest parts of image. Therefore, it allows both higher quality of important parts and lower bitrate as a whole, and it reflects the sense of human beings. The paper mainly introduces the important region determination, briefly on importance adaptive image codec, and finally gives experimental results.
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