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首页> 美国政府科技报告 >Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery.
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Exploration of the Operational Ramifications of Lossless Compression of 1000 ppi Fingerprint Imagery.

机译：1000 ppi指纹图像无损压缩操作分歧的探讨。

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The criminal justice communities throughout the world exchange fingerprint imagery data primarily in 8-bit gray-scale and at 500 pixels per inch (ppi) or equivalently 19.7 pixels per millimeter (ppmm). The Wavelet Scalar Quantization (WSQ) fingerprint image compression algorithm has been developed and maintained by the Federal Bureau of Investigation (FBI), Los Alamos National Laboratory and the National Institute for Standards and Technology (NIST) as the standard for compressing 500 ppi fingerprint imagery in the United States. WSQ is classified as a lossy compression algorithm. Lossy compression algorithms employ data encoding methods which discard (lose) some of the data in the encoding process in order to achieve an aggressive reduction in the size of the data being compressed. Decompressing the resulting compressed data yields content that, while different from the original, is similar enough to the original that it remains useful for the intended purpose. The WSQ algorithm allows users to specify how much compression is to be applied to the fingerprint image at the cost of increasingly greater loss in fingerprint image fidelity as the effective compression ratio is increased. The importance of latent images (images lifted from the crime scene, via uncontrolled collection) in criminal casework has been growing. Anecdotal evidence from latent fingerprint examiners has indicated that any fidelity loss as a result of compression should be avoided prior to review of those fingerprints by examiners and that even small increases in the amount of higher level detail may yield benefits. Because of this, most latent fingerprint images used in casework are either transferred in non-compressed form or compressed using a lossless algorithm where the resulting compressed representation of the image can be decompressed to yield an image exactly identical to the original.

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