| 摘要 |
A novel lossy image compression algorithm-nonuniform sampling and interpolation, or NSI-for fast uncompression on a low power compute platform is disclosed. Decoder simplicity is traded off for a slight (2.5 dB) signal to noise ratio degradation over a non-adaptive discrete cosine transform (DCT) and increased encoder complexity. Encoding is three times slower than the DCT. High quality images are obtained at compression rates as high as 8:1 for 8 bit per pixel greyscale images. NSI can uncompress an image 48 times faster than a DCT. This speed advantage is traded for a small degradation in quality and higher compressing complexity. However, the characteristics of NSI make it ideal for use in an application (a) where images are more often uncompressed than compressed and (b) where a PC will be decompressing the image without expensive hardware assistance.
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