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A novel approach for image compression based on multi-level image thresholding using discrete wavelet transform and cricket algorithm

机译:基于不同小波变换和板球算法的多级图像阈值的图像压缩的一种新方法

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摘要

Applications of image compression is important in terms of time and resource management considering factors such as require more time to send according to the size of image over the network and large amount of space is high dimensional data for storing images. In this study, a new approach can be using at image compression process will be introduced. Firstly, image subjected to discrete wavelet transform for extracting feature. Then multi-level threshold values will be find with Shanon entropy in the obtained image. The maximum value of objective function will be obtained with the help of cricket algorithm at the threshold values finding step. This algorithm is a meta-heuristic algorithm that based on population. The threshold values that obtained through algorithm using to compressing the images will be provided. At the end of the study, the image compression ratio, the proposed approach running on a standard test image will be given.
机译:图像压缩的应用在考虑因素的时间和资源管理方面是重要的,例如需要更多时间来根据网络的图像大小发送,并且大量空间是用于存储图像的高维数据。在这项研究中,将介绍一种新方法可以在图像压缩过程中使用。首先,对分散小波变换进行分离的图像进行提取特征。然后在所获得的图像中使用Shanon Entropy查找多级别阈值。利用阈值在阈值找到步骤的蟋蟀算法的帮助下,将获得目标函数的最大值。该算法是一种基于群体的元启发式算法。将提供通过使用用于压缩图像的算法获得的阈值。在研究结束时,将给出图像压缩比,将给出在标准测试图像上运行的所提出的方法。

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