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首页> 外文会议>International conference on advances in computing, communications and informatics >Fractal image compression for HD images with noise using wavelet transforms
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Fractal image compression for HD images with noise using wavelet transforms

机译：使用小波变换具有噪声的高清图像的分数维图像压缩

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In this paper fractal encoding of images using the wavelet transform is proposed. Fractal encoding is used to produce an image with good visual quality in less encoding time. Quadtree partitioning is applied iteratively during encoding, and fractal coding is executed for JPEG, PNG and BMP HD images in two conditions: by supplying the noise to the input image and without any noise added to the input image, and the results are computed for both the conditions. Median filter is used after decoding to remove the noise which is present in the image. Results show that PSNR is significantly improved and the proposed method is able to produce the image with good visual quality and a compression ratio of 21.33%.
机译：在本文中，提出了使用小波变换的图像分数编码。分形编码用于在更少的编码时间中产生具有良好视觉质量的图像。在编码期间迭代地应用Quadtree划分，并且在两个条件下为JPEG，PNG和BMP HD图像执行分数编码：通过将噪声提供给输入图像并且没有添加到输入图像的任何噪声，并且计算结果条件。解码后使用中值滤波器以去除图像中存在的噪声。结果表明，PSNR显着改善，所提出的方法能够产生具有良好视觉质量的图像，压缩比为21.33％。

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