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Implementation of Image Compression Using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT)

机译:使用离散余弦变换(DCT)和离散小波变换(DWT)的图像压缩的实现

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摘要

This research is research on the application of discrete transformation cosine (DCT), discrete wavelet transformation (DWT), and hybrid as a merger of both previous transformations in the process digital image data compression. Compression process done to suppress the source consumption memory power, speed up the transmission process digital image. Image compression is the application of Data compression on digital images. The Discrete Cosine Transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Discrete Wavelet Transform (DWT) algorithm can compact the energy of image into a small number of coefficient, give combination information of frequency and time, so that more accurate to reconstruct of image.
机译:该研究是对离散变换余弦(DCT),离散小波变换(DWT)和混合的应用的研究,作为过程数字图像数据压缩中的先前变换的合并。 压缩过程完成以抑制源消耗存储器功率,加快传输过程数字图像。 图像压缩是数据压缩对数字图像的应用。 离散余弦变换(DCT)是一种将信号转换为基本频率分量的技术。 它广泛用于图像压缩。 离散小波变换(DWT)算法可以将图像的能量压缩成少量系数,给出频率和时间的组合信息,从而更准确地重建图像。

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