Integer division for quantization of wavelet-transformed images, using field programmable gate arrays

W.F. Turri, W. Smari, F.A. Scarpino
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引用次数: 2

Abstract

Integer-based wavelet transforms present advantages in image compression such as computational speed, simplicity, and reconstructed image quality. The nature of wavelet decomposition allows high compression ratios to be achieved through efficient methods of encoding. The work presented here describes an efficient hardware implementation of a simple integer-division algorithm for the quantization of image data using FPGAs. In addition, this paper presents an overview of the use of wavelet analysis and wavelet transforms, specifically the Haar wavelet transform, in real-time image compression.
整数除法量化小波变换图像,使用现场可编程门阵列
基于整数的小波变换在图像压缩方面具有计算速度快、简单、重构图像质量好的优点。小波分解的性质允许通过有效的编码方法实现高压缩比。本文介绍了一种利用fpga实现图像数据量化的简单整除算法的高效硬件实现。此外,本文还概述了小波分析和小波变换,特别是Haar小波变换在实时图像压缩中的应用。
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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