Real time application of Raspberry Pi in compression of images

S. Sahitya, H. Lokesha, L. K. Sudha
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引用次数: 9

Abstract

An image contains large amount of digital data and it is necessary to reduce digital data volume for transmission and preservation by using image compression. This paper mainly concentrates on image compression using Raspberry Pi processor which helps to preserve large number of images and in retaining its quality. Raspberry Pi processor allows the implementation of most widely used 2-D Discrete Cosine Transform (DCT) compression method to give the Joint Photographic Experts Group (JPEG) format using Open CV platform. JPEG compression algorithm is used to compress the full-color still images which give good human visual perception (HVP) after the compression. Experimental results give the high quality compressed images and it is compared with different quality factors. Implementation of image compression on Raspberry Pi has its real time application of Micro Air Vehicles (MAVs). The proposed method helps MAVs to store large number of images captured by it.
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树莓派在图像压缩中的实时应用
图像中包含了大量的数字数据,为了传输和保存数字数据,必须使用图像压缩技术来减少数字数据量。本文主要研究了利用树莓派处理器进行图像压缩的方法,该方法有助于保存大量图像并保持其质量。树莓派处理器允许实现最广泛使用的二维离散余弦变换(DCT)压缩方法,给予联合摄影专家组(JPEG)格式使用Open CV平台。采用JPEG压缩算法对压缩后具有良好人眼视觉感知效果的全彩静态图像进行压缩。实验结果得到了高质量的压缩图像,并对不同的质量因子进行了比较。在树莓派上实现图像压缩有其在微型飞行器(MAVs)上的实时应用。该方法可以帮助MAVs存储其捕获的大量图像。
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