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DHT Based JPEG Image Compression Using a Novel Energy Quantization Method

机译:基于DHT的JPEG图像压缩的一种新型能量量化方法

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DCT based JPEG is an accepted standard for lossy compression of still image. DHT is a real valued transform whose forward and inverse transforms are same except for an inclusion of a scale factor in the inverse transform. In this paper DCT is replaced by DHT to reduce the computational complexity of JPEG. Quantization is mainly responsible for the amount loss in the image quality in the process of lossy compression. Quantisation of the DHT transformed coefficients is quite difficult. A new quantization method is proposed in the present investigation that facilitates speeding up the coding and decoding procedure while preserving image quality. The image quality of the reconstructed image are very good which is verified through extensive simulation. In this paper with the proposed method there is no need of a dequatizer at the decoder side. This would enable reduction of hardware and would make the implementation much simpler.
机译:基于DCT的JPEG是用于静止图像有损压缩的公认标准。 DHT是实值变换,其正向和逆向变换相同,除了在逆向变换中包含比例因子外。本文将DCT替换为DHT,以降低JPEG的计算复杂度。量化主要负责有损压缩过程中图像质量中的数量损失。 DHT变换系数的量化非常困难。在本研究中提出了一种新的量化方法,该方法有助于在保持图像质量的同时加快编码和解码过程。重建图像的图像质量非常好,这已通过广泛的仿真得到了验证。在本文中,利用所提出的方法,在解码器侧不需要去量化器。这将能够减少硬件,并使实现更加简单。

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