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DCT Image Compression Implemented on Raspberry Pi to Compress Image Captured by CMOS Image Sensor

机译:在Raspberry Pi上实现DCT图像压缩以压缩CMOS图像传感器捕获的图像

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The purpose of compression is to reduce the amount of data at the same time maintain the quality of image and signal for the other purpose. Discrete Cosine Transform (DCT) is a family of image compression where the raw image is transformed to the other domain to produce smaller size of data. DCT transform has low computational complexity and fast processing algorithm. In this project, DCT transform will be implemented using PI camera and Raspberry Pi SBC development board running on an ARM based processor. The raspberry Pi board has an advantage of image processing implementation due to the existing software development tool offered a rich feature for image processing such as OPENCV. The result of applying DCT compression algorithm on images with six compression rate level which are 10, 20, 50, 100, 170 and 200. The best performance can be achieved with compression rate level 200. However, on reducing the quality level of compression rate, the error measurements start becoming worse until a point is reached, where the perceptual difference from the original image can be easily noted.
机译:压缩的目的是减少数据量,同时为其他目的保持图像和信号的质量。离散余弦变换(DCT)是图像压缩的一个系列,其中原始图像被转换到另一个域以产生较小的数据量。 DCT转换具有较低的计算复杂度和快速的处理算法。在此项目中,将使用在基于ARM的处理器上运行的PI摄像机和Raspberry Pi SBC开发板来实现DCT转换。由于现有的软件开发工具为OPENCV等图像处理提供了丰富的功能,因此树莓派开发板具有图像处理实现的优势。在六个压缩率级别分别为10、20、50、100、170和200的图像上应用DCT压缩算法的结果。压缩率级别200可以达到最佳性能。但是,降低了压缩率的质量级别,误差测量开始变得越来越差,直到达到一个点,在该点上可以很容易地注意到与原始图像的感知差异。

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