BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTS
In this paper, a multiwavelet based fingerprint compression technique using set partitioning in hierarchical trees (SPIHT) algorithm with optimised prefilter coefficients is proposed. While wavelet based progressive compression techniques give a blurred image at lower bit rates due to lack of high f...
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2017-08-01
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| Series: | ICTACT Journal on Image and Video Processing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/ArticleDetails.aspx?id=3128 |
| _version_ | 1811193993243918336 |
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| author | N R Rema K T Shanavaz P Mythili |
| author_facet | N R Rema K T Shanavaz P Mythili |
| author_sort | N R Rema |
| collection | DOAJ |
| description | In this paper, a multiwavelet based fingerprint compression technique using set partitioning in hierarchical trees (SPIHT) algorithm with optimised prefilter coefficients is proposed. While wavelet based progressive compression techniques give a blurred image at lower bit rates due to lack of high frequency information, multiwavelets can be used efficiently to represent high frequency information. SA4 (Symmetric Antisymmetric) multiwavelet when combined with SPIHT reduces the number of nodes during initialization to 1/4th compared to SPIHT with wavelet. This reduction in nodes leads to improvement in PSNR at lower bit rates. The PSNR can be further improved by optimizing the prefilter coefficients. In this work genetic algorithm (GA) is used for optimizing prefilter coefficients. Using the proposed technique, there is a considerable improvement in PSNR at lower bit rates, compared to existing techniques in literature. An overall average improvement of 4.23dB and 2.52dB for bit rates in between 0.01 to 1 has been achieved for the images in the databases FVC 2000 DB1 and FVC 2002 DB3 respectively. The quality of the reconstructed image is better even at higher compression ratios like 80:1 and 100:1. The level of decomposition required for a multiwavelet is lesser compared to a wavelet. |
| first_indexed | 2024-04-12T00:19:45Z |
| format | Article |
| id | doaj.art-0970a84be21b4156a872a893f80f050c |
| institution | Directory Open Access Journal |
| issn | 0976-9099 0976-9102 |
| language | English |
| last_indexed | 2024-04-12T00:19:45Z |
| publishDate | 2017-08-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Image and Video Processing |
| spelling | doaj.art-0970a84be21b4156a872a893f80f050c2022-12-22T03:55:45ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022017-08-01811588159510.21917/ijivp.2017.0224BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTSN R Rema0K T Shanavaz1P Mythili2School of Engineering, Cochin University of Science & Technology, IndiaCollege of Engineering, Kallooppara, IndiaSchool of Engineering, Cochin University of Science & Technology, IndiaIn this paper, a multiwavelet based fingerprint compression technique using set partitioning in hierarchical trees (SPIHT) algorithm with optimised prefilter coefficients is proposed. While wavelet based progressive compression techniques give a blurred image at lower bit rates due to lack of high frequency information, multiwavelets can be used efficiently to represent high frequency information. SA4 (Symmetric Antisymmetric) multiwavelet when combined with SPIHT reduces the number of nodes during initialization to 1/4th compared to SPIHT with wavelet. This reduction in nodes leads to improvement in PSNR at lower bit rates. The PSNR can be further improved by optimizing the prefilter coefficients. In this work genetic algorithm (GA) is used for optimizing prefilter coefficients. Using the proposed technique, there is a considerable improvement in PSNR at lower bit rates, compared to existing techniques in literature. An overall average improvement of 4.23dB and 2.52dB for bit rates in between 0.01 to 1 has been achieved for the images in the databases FVC 2000 DB1 and FVC 2002 DB3 respectively. The quality of the reconstructed image is better even at higher compression ratios like 80:1 and 100:1. The level of decomposition required for a multiwavelet is lesser compared to a wavelet.http://ictactjournals.in/ArticleDetails.aspx?id=3128MultiwaveletFingerprintCompressionLower Bit RateOptimised Prefilter Coefficients |
| spellingShingle | N R Rema K T Shanavaz P Mythili BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTS ICTACT Journal on Image and Video Processing Multiwavelet Fingerprint Compression Lower Bit Rate Optimised Prefilter Coefficients |
| title | BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTS |
| title_full | BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTS |
| title_fullStr | BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTS |
| title_full_unstemmed | BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTS |
| title_short | BETTER FINGERPRINT IMAGE COMPRESSION AT LOWER BIT-RATES: AN APPROACH USING MULTIWAVELETS WITH OPTIMISED PREFILTER COEFFICIENTS |
| title_sort | better fingerprint image compression at lower bit rates an approach using multiwavelets with optimised prefilter coefficients |
| topic | Multiwavelet Fingerprint Compression Lower Bit Rate Optimised Prefilter Coefficients |
| url | http://ictactjournals.in/ArticleDetails.aspx?id=3128 |
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