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Image compression for rapid high-quality imaging

机译:图像压缩可实现快速高质量的成像

摘要

Lossless, near-lossless, and lossy compression and decompression of digital image data, whereby the image data can be compressed and decompressed on-the-fly with no need for external RAM resources for temporary data storage while compressing/decompressing image data. Implementing the algorithm only requires a very limited amount of silicon and yields very high performance in relation to very low power consumption. The described implementation is optimized for raw image data from a sensor with a Bayer filter pattern but can be used on data from image sensors with ay color filter. The compression algorithm contains a line indexing formation which enables very fast subsampling of an already compressed image and the possibility to decompress only parts of an image—this improves performance and reduces the need for temporary RAM storage greatly when zooming and in postprocessing.
机译:数字图像数据的无损,近无损和有损压缩和解压缩,从而可以在压缩/解压缩图像数据时即时对图像数据进行压缩和解压缩,而无需用于临时数据存储的外部RAM资源。实施该算法仅需要非常有限的硅,并且相对于非常低的功耗,可以产生非常高的性能。所描述的实现针对来自具有拜耳滤波器图案的传感器的原始图像数据进行了优化,但是可以用于来自具有彩色滤光器的图像传感器的数据。压缩算法包含一个行索引结构,可以对已经压缩的图像进行非常快速的二次采样,并且可以仅对图像的一部分进行解压缩,从而提高了性能,并大大减少了缩放和后期处理时对临时RAM的需求。

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