作者: Frederic Dufaux , Iole Moccagatta , Bruno Rouchouze , Touradj Ebrahimi , Murat Kunt
DOI: 10.1117/12.139807
关键词: Artificial intelligence 、 Data compression 、 Image processing 、 Inter frame 、 Motion estimation 、 Computer vision 、 Signal-to-noise ratio 、 Quantization (signal processing) 、 Computer science 、 Entropy encoding 、 Codec 、 Intra-frame 、 Image compression 、 Wavelet transform 、 Wavelet
摘要: We present a generic video codec, which is able to compress image sequences efficiently regardless of their input formats. In addition, this codec supports wide range bit rates, without significant changes in its main architecture. A multiresolution representation the data generated by Gabor-like wavelet transform. The motion estimation performed locally adaptive multigrid block-matching technique. This can handle both interlaced and progressive sequences, temporal redundancies being exploited interframe/interfield coding. perceptual quantization resulting coefficients then performed, followed entropy Simulations using different test demonstrate reconstructed signal good quality for rates. Thereby demonstrating that perform coding with reduced complexity high efficiency.