全流水线JPEG引擎在仿真环境中的早期性能分析

B. Rani, Harish Yagain, Srinivas Donapati
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引用次数: 0

摘要

JPEG图像压缩标准在大多数数字成像或摄影应用中都有应用。随着技术向高质量成像的发展,以及多个图像压缩和解压缩之间需要更快的响应时间,这对硬件压缩和解压缩引擎的设计提出了挑战。当这些硬件JPEG引擎用于手持设备(如高端数码相机)或智能手机和平板电脑时,它们的性能是最重要的。在本文中,我们提出了这种分析的必要性,以及可能影响JPEG引擎吞吐量的相同和实时场景所需的设置。我们还详细介绍了JPEG引擎的实时性能分析,包括吞吐量测量、与每秒可以处理的图像帧数的相关性,以及各种图像格式(如灰度、RGB和YCbCr)的实验结果。
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Early Performance Analysis of Fully Pipelined JPEG Engine in the Simulation Environment
JPEG image compressions standard finds itself in most of the digital imaging or photography applications. With the technology moving towards high quality imaging and also the need for faster response times between multiple image compressions and decompressions, it poses the challenge on design of hardware compression and decompression engines. Performance of these hardware JPEG engines is of at most importance when they are used in either handheld devices like high end digital cameras or even in case of smart phones and tablets. In this paper we present the need for such analysis, the setup required for the same and real time scenarios which could affect the throughput of the JPEG engine. We also present our detailed real-time performance analysis of the JPEG engine in terms of throughput measurement, correlation to number of frames of image that can be processed per second and also the experimental results captured for various image formats like grayscale, RGB and YCbCr.
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