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New JPEG Coding Algorithm Including Fractal Image Coding for Color Images

机译:包括分形图像编码的彩色图像新的JPEG编码算法

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摘要

This paper proposes an effective JPEG coding algorithm using fractal image coding for color images. In the JPEG images, quantization noise is sometimes visible in high frequency regions, such as the edges of objects. Hence, in order for the JPEG coding to become a more powerful image-coding method, the JPEG image quality must be improved. Therefore, in this paper, a quality improvement method for the color JPEG images is proposed by using the fractal image coding. Some simulation results verify that the proposed method can improve the image quality in the high frequency regions and provide the decoded image with 0.4 dB higher quality than the traditional JPEG.
机译:针对彩色图像,提出了一种使用分形图像编码的有效JPEG编码算法。在JPEG图像中,有时在高频区域(例如对象的边缘)会看到量化噪声。因此,为了使JPEG编码成为更强大的图像编码方法,必须提高JPEG图像质量。因此,在本文中,提出了一种使用分形图像编码的彩色JPEG图像质量改进方法。仿真结果表明,该方法可以改善高频区域的图像质量,并提供比传统JPEG图像高0.4 dB的解码图像。

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