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Combined spatial and frequency domain coding algorithm

机译:组合空间和频域编码算法

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Usage of image has been increasing and used in many applications. Image compression plays vital role in saving storage space and saving time while sending images over network. One important point of delivering digital image is time. In this paper we concentrated on the speed of image sending with reasonable quality. The aim of this paper is to reduce image size with reasonable quality. By getting advantage from image transformation in both scope spatial domain and frequency domain. In the case of spatial domain we take the average value (AV) of each four neighbor pixels and put this average value for one of these four neighbor pixels and ignore other three pixels which give us 1:4 compression ratio. In the case of frequency domain, we apply the simplest wavelet transform, the so called Haar wavelet transform (HWT) to reduce the image size with reasonable quality. In order to obtain better performance and overcome the disadvantages of the spatial domain method, we proposed a combined spatial domain and frequency domain (AV-HWT) approach in this paper. Matlab numerical and visualization software was used to perform all of the calculations and generate and display all of the pictures in the simulation. Experimental results prove the effectiveness of proposed algorithm.
机译:图像的使用量越来越多,在许多应用中使用。图像压缩在通过网络发送图像时保存存储空间和节省时间的储蓄时间至关重要。提供数字图像的一个重要点是时间。在本文中,我们专注于具有合理质量的图像发送的速度。本文的目的是降低具有合理质量的图像尺寸。通过在两个范围空间域和频域中的图像转换获得优势。在空间域的情况下,我们采用每个四个邻居像素的平均值(AV),并为这四个邻居像素中的一个施加这个平均值,并忽略给我们1:4压缩比的其他三个像素。在频域的情况下,我们应用最简单的小波变换,所谓的HAAR小波变换(HWT),以减少具有合理质量的图像尺寸。为了获得更好的性能并克服空间域方法的缺点,我们提出了本文的组合空间域和频域(AV-HWT)方法。 MATLAB数值和可视化软件用于执行所有计算并生成并显示模拟中的所有图片。实验结果证明了所提出的算法的有效性。

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