H-BTC数据库:基于半色调的块截断编码(H-BTC)图像综述

2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI:10.1109/ISPACS48206.2019.8986366

Jing-Ming Guo, Sankarasrinivasan Seshathiri

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引用次数: 1

摘要

基于半色调的块截断编码图像(H-BTC)是BTC图像的改进版本，可以提供更好的表示和增强的图像质量。H-BTC图像的应用范围包括图像压缩与检索、索引、重构、分类等。本文简要介绍了各种H-BTC图像，并从图像质量和计算需求两方面对其进行了评价。展望了H-BTC图像的应用前景。所开发的H-BTC数据库由5类H-BTC图像组成，其中3类基于数字半色调构建，2类基于数字多色调构建。该数据库对于开展深度学习研究和各种图像处理任务非常有用。该数据库及其源代码将为研究和学术目的开放源代码。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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H-BTC Database: A Brief Review on Halftone based Block Truncation Coding (H-BTC) Images

Halftone based block truncation coding images (H-BTC) are the improved version of BTC images which can offer superior representation and enhanced image quality. The application of the H-BTC images range from image compression and retrieval, indexing, reconstruction, classification and so on. In this paper, a brief introduction to various H-BTC images is presented and their evaluation is carried out in terms of image quality and computational demand. Further, the application prospective of the H-BTC images are also provided. The developed H-BTC database comprises of 30K images comprising of the five types of H-BTC images in which three categories are constructed based on digital halftoning and two types are based on digital multitoning. The database would be very useful to carry out deep learning research and various image processing tasks. The database along with its source code will be made open source for the research and academic purpose.

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2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

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