Wavelet Scalar Quantization
نویسندگان
چکیده
Fingerprints are today the most widely used biometric features for personal identification. With the increasing usage of biometric systems the question arises naturally how to store and handle the acquired sensor data. Our algorithm for the digitized images is based on adaptive uniform scalar quantization of discrete wavelet transform sub band decomposition. This technique referred to as the wavelet scalar quantization method. The algorithm produces archival quality images at compression ratios of around 15 to 1 and will allow the current database of paper finger print cards to be replaced by digital imagery. A compliance testing program is also being implemented to ensure high standards of image quality and interchangeability of data between different implementations.
منابع مشابه
The Wavelet Scalar Quantization Compression Standard for Digital Fingerprint Images
A new digital image compression standard has been adopted by the US Federal Bureau of Investigation for use on digitized gray-scale fingerprint images. The algorithm is based on adaptive uniform scalar quantization of a discrete wavelet transform image decomposition and is referred t o as the wavelet/scalar quantization standard. The standard produces archival quality images at compression rati...
متن کاملSpace-frequency quantization for wavelet image coding
A new class of image coding algorithms coupling standard scalar quantization of frequency coefficients with tree-structured quantization (related to spatial structures) has attracted wide attention because its good performance appears to confirm the promised efficiencies of hierarchical representation. This paper addresses the problem of how spatial quantization modes and standard scalar quanti...
متن کاملEntropy-constrained scalar quantization and minimum entropy with error bound by discrete wavelet transforms in image compression
The global maximum of an entropy function with different decision levels for a three-level scalar quantizer performed after a discrete wavelet transform was derived. Herein, we considered the case of entropy-constrained scalar quantization capable of avoiding many compression ratio reductions as the mean squared error was minimized. We also dealt with the problem of minimum entropy with an erro...
متن کاملDead Zone Quantization in Wavelet Image Compression | Mini Project in Ece 253a |
A common quantizer implementation of wavelet image compression systems is scalar quantization followed by run-length and Hu man coding. The low complexity of such a quantizer system makes it suitable for hardware implementations. By replacing the scalar quantizer with a dead zone quantizer, the performance of the system in terms of PSNR/bpp increases. The purpose of this mini project is to inve...
متن کامل