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Wavelet-DCT Based Image Coder for Video Coding Applications

机译:用于视频编码应用的小波-DCT基于图像编码器

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Discrete Cosine Transform (DCT) is widely used in intraframe compression to compress the current frame of a video source. With little differences between frames, interframe compression uses the subsequent frame to compress the reference frame, by performing subtraction. The subtraction output (difference image) is fed into the intraframe coder for still-image compression. However, DCT cannot compress difference image efficiently, since it is Discontinuous Tone Image (DTI) [1] and the algorithm should be improved. Wavelet-DCT is a novel algorithm that uses Forward Discrete Wavelet Transform (DWT) to compute DCT. A SIMULINK model for an intraframe coder is developed and tested. Then, a Wavelet-DCT block is coded using MATLAB and used to replace the conventional DCT block. In the study, on one hand, experiment is conducted on difference image for conventional intraframe coder; on the other, the same difference image with Wavelet-DCT based intraframe coder. The results prove that Wavelet-DCT has greater compression for difference images. This is possible since the algorithm allows discarding insignificant DWT coefficients or more popularly known thresholding the DWT coefficients while computing the DCT. We then conclude that Wavelet-DCT is capable compressing difference images at higher compression in video coding applications.
机译:离散余弦变换(DCT)广泛用于帧内压缩以压缩视频源的当前帧。在帧之间的差异很小,帧间压缩使用后续帧通过执行减法来压缩参考帧。减法输出(差异图像)被馈送到静止图像压缩的帧内编码器中。但是,DCT不能有效地压缩差异图像,因为它是不连续的色调图像(DTI)[1],并且应该提高算法。 WaveLet-DCT是一种新颖的算法,它使用前向离散小波变换(DWT)计算DCT。开发和测试了用于帧内编码器的Simulink模型。然后,使用MATLAB编码小波-DCT块,并用于替换传统的DCT块。在该研究中,一方面,对常规帧内编码器进行实验进行实验;另一方面,与基于小波DCT的IntraFrame编码器相同的差异图像。结果证明了小波-DCT对差异图像具有更大的压缩。这是可能的,因为该算法允许在计算DCT时丢弃无关头的DWT系数或更普遍地知道DWT系数的阈值。然后,我们得出结论,小波-DCT能够在视频编码应用中的更高压缩下压缩差异图像。

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