Abstract
Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images. In particular, remote sensing makes it possible to collect image data on dangerous or inaccessible areas (in Roy et al. Signal Process 128: 262–273, 2016). The methods are introduced in previous research for the efficient image compression with less error rate. The existing method is named as 2D-dual tree-complex wavelet transform (2D-DT-CWT) with fuzzy inference filter (FIF) based image compression algorithm which is used for the aid of remote sensing image compression. However it has issue with time complexity and lack in robust compression ratios. To avoid the above mentioned issues, in the proposed system, the approach enhanced called as hybrid 2D-oriented biorthogonal wavelet transform (2D-BWT) by using Windowed all phase digital filter (WAPDF) based on discrete wavelet transform (DWT) for robust image compression algorithm. The proposed system contains modules such as image compression using 2D-DWT, 2D-BWT using WAPDF for improving transformation, coefficient selection using FIF. Then context-adaptive binary arithmetic coding (CABAC) with lattice vector quantization (LVQ) is proposed for encoding the wavelet significant coefficients. DWT is used to focus on the provision of high quality compression images and BWT is used to improve the transformation process. The experimental results show that hybrid-2D-BDWT can help in significant improvement of the transform coding gain, specifically for remote sensing images having good resolution. In this research, the comparison of the proposed work is done with the existing 2D-oriented wavelet transform (2D-OWT) and 2D-DT-CWT. Also, the new compression method is simple, and the memory requirement in the operation process is very less. It provides robust image compression ratio and high quality images using transformation methods.
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Sharif, M., Ayub, M.K., Raza, M., Mohsin, S.: Data reductionality technique for face recognition. Proc. Pakist. Acad. Sci. 48(4), 229–234 (2011)
Elharar, E.: A hybrid compression method for integral images using discrete wavelet transform and discrete cosine transform. IEEE J. Disp. Technol. 3(3), 321–325 (2007)
Ye, L., Hou, Z.: Memory efficient multilevel discrete wavelet transform schemes for JPEG2000. IEEE Trans. Circuits Syst. Video Technol. 25(11), 1773–1785 (2015)
Chang, Chuo.-Ling., Girod, Bernd.: Direction-adaptive discrete wavelet transform for image compression. IEEE Trans. Image Process. 16(5), 1289–1302 (2007)
Li, B., Yang, R., Jiang, H.: Remote-sensing image compression using two-dimensional oriented wavelet transform. IEEE Trans. Geosci. Remote Sens. 49(1), 236–250 (2011)
Roy, A., Singha, J., Devi, S.S., Laskar, R.: Impulse noise removal using SVM classification based fuzzy filter from gray scale images. Signal Process. 128, 262–273 (2016)
Suple, N.Y., Kharad, S.M.: Design of fuzzy inference system for contrast enhancement of color images. Int. J. Adv. Comput. Res. 3(3), 427 (2013)
Xue, X., Zheng, Y.: A method based on wavelet transform and discrete KL transform for color image filtering. In: Proceedings of the 2nd International Conference on Signal Processing Systems (ICSPS), vol. 2. IEEE (2010)
Mahapatra, D.K., Jena, U.R.: Partitional k-means clustering based hybrid DCT-vector quantization for image compression. In: IEEE Conference on Information & Communication Technologies (ICT) (2013)
Jiang, B., Aiping, Y., Chengyou, W., Zhengxin, H.: Implementation of biorthogonal wavelet transform using discrete cosine sequency filter. Int. J. Signal. Process. 6(4), 179–189 (2013)
Thakur, V.S., Gupta, S., Thakur, K.: Hybrid WPT-BDCT transform for high-quality image compression. IET Image Process. 11(10), 899–909 (2017)
Bhattacharya, C., Mahapatra, P.R.: A discrete wavelet transform approach to multiresolution complex SAR image generation. IEEE Geosci. Remote Sens. Lett. 4(3), 416–420 (2007)
Li, Y., Sun, J., Luo, H.: A neuro-fuzzy network based impulse noise filtering for gray scale images. Neurocomputing 127, 190–199 (2014)
Suresh, A., Shunmuganathan, K.L.: Feature fusion technique for colour texture classification system based on gray level co-occurrence matrix. J. Comput. Sci. 8(12), 2106–2111 (2012)
Sudhakar Ilango, S., et al.: Optimization using artificial bee colony based clustering approach for big data. Clust. Comput. (2018). https://doi.org/10.1007/s10586-017-1571-3
Lee, C.-S., Guo, S.-M., Hsu, C.-Y.: Genetic-based fuzzy image filter and its application to image processing. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 35(4), 694–711 (2005)
Nadernejad, E., Korhonen, J., Forchhammer, S., Burini, N.: Enhancing perceived quality of compressed images and video with anisotropic diffusion and fuzzy filtering. Signal Process. 28(3), 222–240 (2013)
Pensiri, F., Auwatanamongkol, S.: A lossless image compression algorithm using predictive coding based on quantized colors. WSEAS Trans. Signal Process. 8(2), 43–53 (2012)
Wu, G., Leeuw, J.D., Skidmore, A.K., Liu, Y., Prins, H.H.: Performance of Landsat TM in ship detection in turbid waters. Int. J. Appl. Earth Observ. Geoinf. 11(1), 54–61 (2009)
Chowdhury, M.M.H., Khatun, A.: Image compression using discrete wavelet transform. IJCSI Int. J. Comput. Sci. Issues 9(4), 327–330 (2012)
Kim, Seung.Cheol., Kim, Eun.-Soo.: Fast computation of hologram patterns of a 3D object using run-length encoding and novel look-up table methods. Appl. Opt. 48(6), 1030–1041 (2009)
Karami, Azam., Yazdi, Mehran., Mercier, Grégoire.: Compression of hyperspectral images using discerete wavelet transform and tucker decomposition. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 5(2), 444–450 (2012)
Zhou, Xiao., et al.: Implementation of biorthogonal wavelet transform using windowed APDF based on DCT. Int. J. Signal Process. Image Process. Pattern Recognit. 7(6), 1–16 (2014)
Farbiz, F., Menhaj, M.B., Motamedi, S.A., Hagan, M.T.: A new fuzzy logic filter for image enhancement. IEEE Trans. Syst. Man Cybern. 30(1), 110–119 (2000)
Su, F., Wang, Z.H.: Implementation and design of all phase FIR filter in DCT domain. J. Tianjin Univ. (Sci. Technol.) 37(12), 1110–1114 (2004)
Rong, H.-J., Sundararajan, N., Huang, G.-B., Saratchandran, P.: Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction. Fuzzy Sets Syst. 157(9), 1260–1275 (2006)
Yang, X., Toh, P.S.: Adaptive fuzzy multilevel median filter. IEEE Trans. Image Process. 4(5), 680–682 (1995)
Suresh, A., Shunmuganathan, K.L.: Image texture classification using gray level co-occurrence matrix based statistical features. Eur. J. Sci. Res. 75(4), 591–597 (2012)
Mendoza, O., Melin, P., Licea, G.: A new method for edge detection in image processing using interval type-2 fuzzy logic. In: Proceedings of the IEEE International Conference on Granular Computing (2007)
Van De Ville, D., Van Des Wekan, D., Philips, W.: Noise reduction by fuzzy image filtering. IEEE Trans. Fuzzy Syst. 11, 429–436 (2007)
Vimal, S., Kalaivani, L., Kaliappan, M.: Collaborative approach on mitigating spectrum sensing data hijack attack and dynamic spectrum allocation based on CASG modeling in wireless cognitive radio networks. M. Clust. Comput. (2017). https://doi.org/10.1007/s10586-017-1092-0
Schulte, S., De Witte, V., Nachtegael, M., Van der Weken, D., Kerre, E.E.: Fuzzy two-step filter for impulse noise reduction from color images. IEEE Trans. Image Process. 15(11), 3567–3578 (2006)
Sharma, M.: Compression using Huffman coding. IJCSNS Int. J. Comput. Sci. Netw. Secur. 10(5), 133–141 (2010)
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Sudhakar Ilango, 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. Cluster Comput 22 (Suppl 6), 13473–13486 (2019). https://doi.org/10.1007/s10586-018-1982-9
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DOI: https://doi.org/10.1007/s10586-018-1982-9