Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Multimedia Systems
Published in: Multimedia Systems 6/2020

19-08-2020 | Regular Paper

Hybrid optimal algorithm-based 2D discrete wavelet transform for image compression using fractional KCA

Authors: V. Geetha, V. Anbumani, G. Murugesan, S. Gomathi

Published in: Multimedia Systems | Issue 6/2020

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Due to the low compression performance of traditional compression models, we have developed a new HOA based Fractional KCA with 2D-DWT for improving the multispectral image quality. In this paper, we present a novel multispectral image compression method for improving the complexity by maintaining quality reconstruction and also reducing the size of the storage of multispectral images. Initially, Karhunen–Loeve transform (KLT) is used to remove the spatial redundancies. In the second stage, 2D DWT is used to eliminate the intraband spatial redundancies. In the third stage, Fractional KCA (FKCA) is applied to improve the post-transformation process. FKCA is connected to the band of all wavelet sub-bands to minimize the spatial redundancy between intra sub-bands. Finally, the Hybrid Optimal algorithm (HOA) based FKCA is used to eliminate the residual and information redundancy among the neighboring bands. The experimental analysis of proposed 2D-DWT based Fractional KCA shows that the model improves the performance of compression data in terms of PSNR, MSSI, and VIF. Also, the multispectral image dataset shows the proposed compression model outperforms the existing compression models such as FKLT + PCA, ADWT + OADL, and DWT + DCT
previous article Deep learning-based multi-modal approach using RGB and skeleton sequences for human activity recognition
next article Color image quantization with peak-picking and color space

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Martina, M., Masera, G., Roch, M.R., Piccinini, G.: Result-based distributed-arithmetic-based filter architectures for approximately computing the DWT. IEEE Trans. Circ. Syst. I Regul. Pap. 62(8), 2103–2113 (2015)CrossRef
2.
Prakash, M.S., Shaik, R.A.: Low-area and high-throughput architecture for an adaptive filter using distributed arithmetic. IEEE Trans. Circ. Syst. II Express Briefs 60(11), 781–785 (2013)
3.
Qureshi, M.A., Deriche, M.: A new wavelet based efficient image compression algorithm using compressive sensing. Multimed. Tools Appl. 75(12), 6737–6754 (2016)CrossRef
4.
Lee, Y., Hirakawa, K., Nguyen, T.Q.: Camera-aware multi-resolution analysis for raw image sensor data compression. IEEE Trans. Image Process. 27(6), 2806–2817 (2018)MathSciNetMATHCrossRef
5.
Sundararaj, Vinu: Optimal task assignment in mobile cloud computing by queue based ant-bee algorithm. Wirel. Pers. Commun. 104(1), 173–197 (2019)CrossRef
6.
Sundararaj, V., Muthukumar, Selvi, Kumar, R.S.: An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks. Comput. Secur. 77, 277–288 (2018)CrossRef
7.
Vinu, S.: An efficient threshold prediction scheme for wavelet based ECG signal noise reduction using variable step size firefly algorithm. Int. J. Intell. Eng. Syst. 9(3), 117–126 (2016)
8.
Rejeesh, M.R.: Interest point based face recognition using adaptive neuro fuzzy inference system. Multimed. Tools Appl. 78(16), 22691–22710 (2019)CrossRef
9.
Sundararaj, V.: Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm for wavelet-based ECG signal noise reduction. Int. J. Biomed. Eng. Technol. 31(4), 325 (2019)CrossRef
10.
Geetha, V., Anbumani, V., Sasikala, S., Murali, L.: Efficient hybrid multi-level matching with diverse set of features for image retrieval. Soft Computing 24(16), 12267–12288 (2020)CrossRef
11.
Sundararaj, V., Anoop, V., Dixit, P., Arjaria, A., Chourasia, U., Bhambri, P., Rejeesh, M.R. and Sundararaj, R., CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system. Progress in Photovoltaics: Research and Applications, 2020
12.
Kefalas, N., Theodoridis, G.: Low-memory and high-performance architectures for the CCSDS 122.0-B-1 compression standard. Integration 69, 85–97 (2019)CrossRef
13.
Shihab, H.S., Shafie, S., Ramli, A.R., Ahmad, F.: Enhancement of satellite image compression using a hybrid (DWT–DCT) algorithm. Sens. Imaging 18(1), 30 (2017)CrossRef
14.
Yalamarthy, K.P., Dhall, S., Khan, M.T., Shaik, R.A.: Low-complexity distributed-arithmetic-based pipelined architecture for an LSTM network. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. (2018)
15.
Darji, A., Arun, R., Merchant, S.N., Chandorkar, A.: Multiplier-less pipeline architecture for lifting-based two-dimensional discrete wavelet transform. IET Comput. Digit. Tech. 9(2), 113–123 (2014)CrossRef
16.
Hegde, G., Reddy, K.S., Ramesh, T.K.S.: A new approach for 1-D and 2-D DWT architectures using LUT based lifting and flipping cell. AEU-Int. J. Electron. Commun. 97, 165–177 (2018)CrossRef
17.
Naik, P., Guhilot, H., Tigadi, A., Ganesh, P.: Reconfigured VLSI architecture for discrete wavelet transform. In: Soft Computing and Signal Processing, pp. 709–720. Springer, Singapore (2019)
18.
Sivanandam, L., Periyasamy, S., Oorkavalan, U.M.: Power transition X filling based selective Huffman encoding technique for test-data compression and Scan Power Reduction for SOCs. Microprocess. Microsyst. 72, 102937 (2020)CrossRef
19.
Mohanty, B.K., Meher, P.K., Singhal, S.K., Swamy, M.N.S.: A high-performance VLSI architecture for reconfigurable FIR using distributed arithmetic. Integration 54, 37–46 (2016)CrossRef
20.
Lu, Y., Duan, S., Halak, B., Kazmierski, T.J.: A cost-efficient error-resilient approach to distributed arithmetic for signal processing. Microelectron. Reliab. 93, 16–21 (2019)CrossRef
21.
Malathkar, N.V., Soni, S.K.: A near lossless and low complexity image compression algorithm based on fixed threshold DPCM for capsule endoscopy. Multimed. Tools Appl., 1–16 (2020)
22.
Joshi, N., Sarode, T.: Validation and optimization of image compression algorithms. In: Information and Communication Technology for Sustainable Development, pp. 521–529. Springer, Singapore (2020)
23.
Turcza, P., Duplaga, M.: Energy-efficient image compression algorithm for high-frame rate multi-view wireless capsule endoscopy. J. Real-Time Image Proc. 16(5), 1425–1437 (2019)CrossRef
24.
Lanz, D., & Kaup, A.: Graph-based compensated wavelet lifting for scalable lossless coding of dynamic medical data. IEEE Trans. Image Process. (2019)
25.
Ilango, S.S., Seenivasagam, V., Madhumitha, R.: Hybrid two-dimensional dual tree—biorthogonal wavelet transform and discrete wavelet transform with fuzzy inference filter for robust remote sensing image compression. Clust. Comput. 22(6), 13473–13486 (2019)CrossRef
26.
27.
Zikiou, N., Lahdir, M., & Helbert, D.: Support vector regression-based 3D-wavelet texture learning for hyperspectral image compression. Vis. Comput., 1–18 (2019)
28.
Wei, L., Sun, Q., Gao, X.: July. Kernel Generalized Canonical Correlation and a New Feature Fusion Strategy. In: International Conference on Artificial Intelligence and Security, pp. 488–500. Springer, Cham (2019)
29.
Zhang, J., Fowler, J.E., Liu, G.: Lossy-to-lossless compression of hyperspectral imagery using three-dimensional TCE and an integer KLT. IEEE Geosci. Remote Sens. Lett. 5(4), 814–818 (2008)CrossRef
30.
Saghri, J.A., Schroeder, S., Tescher, A.G.: An adaptive two-stage KLT scheme for spectral decorrelation in hyperspectral bandwidth compression. In: Applications of Digital Image Processing XXXII (Vol. 7443, p. 744313). International Society for Optics and Photonics (2009)
31.
Penna, B., Tillo, T., Magli, E., Olmo, G.: Transform coding techniques for lossy hyperspectral data compression. IEEE Trans. Geosci. Remote Sens. 45(5), 1408–1421 (2007)CrossRef
32.
Wang, L., Wu, J., Jiao, L., Shi, G.: Lossy-to-lossless hyperspectral image compression based on multiplierless reversible integer TDLT/KLT. IEEE Geosci. Remote Sens. Lett. 6(3), 587–591 (2009)CrossRef
33.
Li, J., Liu, Z., Tian, S.-F.: An efficient onboard compression method for multispectral images using distributed post-transform in the wavelet domain in conjunction with a fast spectral decorrelator. Optical Rev 26(2), 247–261 (2019)CrossRef
34.
Chakraborty, A. and Banerjee, A., 2019. A memory and area-efficient distributed arithmetic based modular VLSI architecture of 1D/2D reconfigurable 9/7 and 5/3 DWT filters for real-time image decomposition. Journal of Real-Time Image Processing 1–26
35.
Egho, C., Vladimirova, T., Sweeting, M.N.: Acceleration of karhunen-loeve transform for system-on-chip platforms. In: 2012 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), pp. 272–279. IEEE (2012)
36.
Blanes, I., Serra-Sagristà, J.: Cost and scalability improvements to the Karhunen-Loêve transform for remote-sensing image coding. IEEE Trans. Geosci. Remote Sens. 48(7), 2854–2863 (2010)CrossRef
37.
Bravo, I., Mazo, M., Lázaro, J.L., Jiménez, P., Gardel, A., Marrón, M.: Novel HW architecture based on FPGAs oriented to solve the eigen problem. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 16(12), 1722–1725 (2008)CrossRef
38.
39.
Mei, S., Khan, M.B., Zhang, Y., Du, Q.: Low-Complexity Hyperspectral Image Compression Using Folded PCA and JPEG2000. In: IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, pp. 4756-4759. IEEE, 2018
40.
Delaunay, X., Chabert, M., Charvillat, V., Morin, G., Ruiloba, R.: Satellite image compression by directional decorrelation of wavelet coefficients. In: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1193–1196. IEEE 2008
41.
Delaunay, X., Chabert, M., Charvillat, V., Morin, G.: Satellite image compression by post-transforms in the wavelet domain. Signal Process. 90(2), 599–610 (2010)MATHCrossRef
42.
Chander, S., Vijaya, P., Dhyani, P.: Fractional lion algorithm—an optimization algorithm for data clustering. JCS 12(7), 323–340 (2016)
43.
Shi, Cuiping, Wang, Liguo: Remote sensing image compression based on adaptive directional wavelet transform with content-dependent binary tree codec. IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. 12(3), 934–949 (2017)MathSciNetCrossRef
44.
Shihab, H.S., Shafie, S., Ramli, A.R., Ahmad, F.: Enhancement of satellite image compression using a hybrid (DWT–DCT) algorithm. Sens. Imaging 18(1), 1–30 (2017)CrossRef
45.
Li, J., Fei X., Zheng, Y.: Compression of multispectral images with comparatively few bands using posttransform Tucker decomposition. Math. Probl. Eng. (2014)
46.
Uchaev, DmV, Uchaev, D.V., Esipov, A.S., Filatova, E.G.: Fractal approach to the choice of the compression ratio of hyperspectral images in the 3D–SPIHT method under the condition of subsequent classification of the decompressed images by the support vector machine. Curr. Probl. Remote Sens. Earth Space 14(4), 9–23 (2017)
Metadata
Title
Hybrid optimal algorithm-based 2D discrete wavelet transform for image compression using fractional KCA
Authors
V. Geetha
V. Anbumani
G. Murugesan
S. Gomathi
Publication date
19-08-2020
Publisher
Springer Berlin Heidelberg
Published in
Multimedia Systems / Issue 6/2020
Print ISSN: 0942-4962
Electronic ISSN: 1432-1882
DOI
https://doi.org/10.1007/s00530-020-00681-6

Other articles of this Issue 6/2020

Multimedia Systems 6/2020 Go to the issue

Regular Paper

Color image quantization with peak-picking and color space

Regular Paper

Emperor Penguin optimized event recognition and summarization for cricket highlight generation

Regular Paper

Anti-distractors: two-branch siamese tracker with both static and dynamic filters for object tracking

Regular Paper

Multi-nonlinear multi-view locality-preserving projection with similarity learning for random cross-view gait recognition

Regular Paper

Online multi-object tracking using KCF-based single-object tracker with occlusion analysis

Regular Paper

Deep learning-based multi-modal approach using RGB and skeleton sequences for human activity recognition