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A still-image encoder based on adaptive resolution vector quantization featuring needless calculation elimination architecture

机译:基于自适应分辨率矢量量化的静止图像编码器,具有不必要的计算消除架构

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A still-image encoder based on vector quantization (VQ) has been developed using 0.35-Μm triple-metal CMOS technology for encoding a high-resolution still image. The chip employs the needless calculation elimination method and the adaptive resolution VQ (AR-VQ) technique. The needless calculation elimination method can reduce computational cost of VQ encoding to 40% or less of the full-search VQ encoding, while maintaining the accuracy of full-search VQ. AR-VQ realizes a compression ratio of over 1/200 while maintaining image quality. The processor can compress a still image of 1600×2400 pixels within 1 s and operates at 66 MHz with power dissipation of 660 mW under 2.5-V power supply, which is 1000 times larger performance per unit power dissipation than the software implementation on current PCs.
机译:基于矢量量化(VQ)的静止图像编码器已经使用0.35-μm三重金属CMOS技术开发,用于编码高分辨率静止图像。该芯片采用了不必要的计算消除方法和自适应分辨率VQ(AR-VQ)技术。不必要的计算消除方法可以将VQ编码的计算成本降低到全搜索VQ编码的40%或更少,同时保持全搜索VQ的准确性。 AR-VQ在保持图像质量的同时实现了超过1/200的压缩比。该处理器可以在1 s内压缩1600×2400像素的静态图像,并以66 MHz的频率工作,在2.5 V电源下的功耗为660 mW,这是单位功耗的性能比当前PC上的软件实现高1000倍。

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