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Digital camera system built on JPEG2000 compression and decompression

机译:基于JPEG2000压缩和解压缩的数码相机系统

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摘要

Processing architecture for digital camera has been built on JPEG2000 compression system. Concerns are to minimize processing power and data traffic inside (data-bandwidth at interface) and out-side (compression efficiency) of camera system. Key idea is to decompose Bayer matrix data given from image sensor into four half-resolution planes instead of interpolating to three full-resolution planes. With a new compression standard, JPEG2000, capable of handling multi-component image, the four-plane representation can be encoded into a single bit-stream. The representation saves data traffic between image reconstruction stage and compression stage by 1/3 to 1/2 compared to the Bayer-interpolated data. Not only reduced processing power prior to and during compression but also competitive or superior compression efficiency is achieved. On reconstruction to full resolution is Bayer-interpolation and/or edge-enhancement required as a post-processing to a standard decoder, while half or smaller resolution image is reconstructed without a post-processing. For mobile terminals with an integrated camera (image reconstruction in camera h/w and compression in terminal processor), this scheme helps to accommodate increased resolution with all the limited data-bandwidth from camera to terminal processor and limited processing capability.
机译:数码相机的处理架构已建立在JPEG2000压缩系统上。关注的是使摄像机系统内部(接口的数据带宽)和外部(压缩效率)的处理能力和数据流量最小化。关键思想是将图像传感器提供的拜耳矩阵数据分解为四个半分辨率平面,而不是内插到三个全分辨率平面。利用能够处理多分量图像的新压缩标准JPEG2000,可以将四平面表示形式编码为单个位流。与拜耳插值数据相比,该表示节省了图像重建阶段和压缩阶段之间的数据流量1/3至1/2。不仅降低了压缩之前和压缩期间的处理能力,而且还获得了竞争性或优越的压缩效率。在重建至全分辨率时,需要将拜耳插值和/或边缘增强作为对标准解码器的后处理,而在不进行后处理的情况下重建一半或更小的分辨率的图像。对于具有集成摄像头的移动终端(摄像头硬件中的图像重建和终端处理器中的压缩),此方案通过从摄像头到终端处理器的所有有限数据带宽和有限的处理能力,有助于适应更高的分辨率。

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