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Removal of blocking artifacts in JPEG compressed images using Dual Tree Complex Wavelet Filters for Multimedia on the Web

机译:使用Web上的多媒体双重树复数小波滤波器消除JPEG压缩图像中的块状伪像

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The popular international standard for compression, the Joint Photographers Expert Group (JPEG) quite often leads to noticeable discontinuities along the boundaries called the ‘blocking artifacts’. When the image is JPEG compressed the high frequency details of the coded image are mainly contaminated by quantization noise. An estimation of the actual pixel is obtained from the decoded image. The estimated image is denoised using Dual Tree complex wavelet transform (DTCWT), which is a variant of discrete wavelet transform. This transformation ensures approximate shift invariance and directional selectivity properties that are lacking in the traditional wavelet transform.
机译:联合摄影师专家组(JPEG)是流行的压缩国际标准,通常会在边界上造成明显的不连续性,称为“遮挡伪像”。当图像被JPEG压缩时,编码图像的高频细节主要被量化噪声污染。从解码图像获得实际像素的估计。估计的图像使用对偶树复小波变换(DTCWT)进行去噪,它是离散小波变换的一种变体。这种变换确保了传统小波变换所缺乏的近似位移不变性和方向选择性特性。

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