{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T22:38:22Z","timestamp":1725835102058},"publisher-location":"New Delhi","reference-count":18,"publisher":"Springer India","isbn-type":[{"type":"print","value":"9788132226932"},{"type":"electronic","value":"9788132226956"}],"license":[{"start":{"date-parts":[[2015,10,25]],"date-time":"2015-10-25T00:00:00Z","timestamp":1445731200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-81-322-2695-6_51","type":"book-chapter","created":{"date-parts":[[2015,10,25]],"date-time":"2015-10-25T00:41:10Z","timestamp":1445733670000},"page":"599-609","source":"Crossref","is-referenced-by-count":0,"title":["Compression of Hyper-Spectral Images and Its Performance Evaluation"],"prefix":"10.1007","author":[{"given":"K.","family":"Subhash Babu","sequence":"first","affiliation":[]},{"given":"K. K.","family":"Thyagharajan","sequence":"additional","affiliation":[]},{"given":"V.","family":"Ramachandran","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,10,25]]},"reference":[{"key":"51_CR1","doi-asserted-by":"crossref","unstructured":"Cheng, K.J., Dill, J.: Hyperspectral images lossless compression using the 3D binary EZW algorithm. In: Proceedings of SPIE 8655 on Image Processing: Algorithms and Systems, vol. XI, pp. 865515\u201322, 19 Feb 2013","DOI":"10.1117\/12.2002820"},{"key":"51_CR2","doi-asserted-by":"crossref","unstructured":"Alissou, S.A., Zhang, Y.: Hyperspectral data compression using lasso algorithm for spectral decorrelation. In: Proceedings of SPIE 9124 on Satellite Data Compression, Communications, and Processing, vol. X, pp. 91240A-9. 22 May 2014","DOI":"10.1117\/12.2053265"},{"key":"51_CR3","doi-asserted-by":"publisher","first-page":"31","DOI":"10.4236\/jcc.2014.22006","volume":"2","author":"K Cheng","year":"2014","unstructured":"Cheng, K., Dill, J.: An improved EZW hyperspectral image compression. J. Comput. Commun. 2, 31\u201336 (2014)","journal-title":"J. Comput. Commun."},{"key":"51_CR4","doi-asserted-by":"crossref","unstructured":"Nian, Y., He, M., Wan, J.: Low-complexity compression algorithm for hyperspectral images based on distributed source coding. Math. Probl. Eng. 2013(Article ID 825673), 7 p. (2013)","DOI":"10.1155\/2013\/825673"},{"key":"51_CR5","doi-asserted-by":"crossref","unstructured":"Anbarjafari, G., et al.: Lossy image compression using singular value decomposition and wavelet difference reduction. Digital Sig. Process. (Impact Factor: 1.92), 117\u2013123 (2013)","DOI":"10.1016\/j.dsp.2013.09.008"},{"key":"51_CR6","unstructured":"Jayaraman, S., Esakirajan, S., Veerakumar, T.: Digital Image Processing, pp. 209\u2013221. Tata McGrawHill Education Private Ltd., New Delhi (2009)"},{"key":"51_CR7","unstructured":"Wu, Y.-G., Tai, S.-C.: Medical image compression by discrete cosine transform spectral similarity strategy. IEEE Trans. Inf. Technol. Biomed. 5(3), 236\u2013243 (2001)"},{"key":"51_CR8","unstructured":"El Zorkany, M.: A hybrid compression technique using neural network and vector quantization with DCT. Adv. Intell. Syst. Comput. 233, 233\u2013244 (2014)"},{"key":"51_CR9","unstructured":"Rawat, C.S., Meher, S.: A hybrid image compression scheme using DCT and fractal image compression. Int. Arab J. Inf. Technol. 10(6), 553\u2013562 (2013)"},{"issue":"5","key":"51_CR10","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1007\/s11633-014-0830-5","volume":"11","author":"L. Balaji","year":"2014","unstructured":"Balaji, L., Thyagharajan, K.K.: H.264\/SVC mode decision based on mode correlation and desired mode list. Int. J. Autom. Comput. 11(5), 510\u2013516 (2014)","journal-title":"International Journal of Automation and Computing"},{"key":"51_CR11","unstructured":"Kahu, S., Rahate, R.: Image compression using singular value decomposition. Int. J. Adv. Res. Technol. 2(8), 244\u2013248 (2013)"},{"key":"51_CR12","unstructured":"Sadek, R.A.: SVD based image processing applications: state of the art, contributions and research challenges. Int. J. Adv. Comput. Sci. Appl. 3(7), 26\u201334 (2012)"},{"key":"51_CR13","doi-asserted-by":"crossref","unstructured":"Zhou, X.: Research on DCT-based image compression quality. In: Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), vol. 2, pp. 1490\u20131494 (2011)","DOI":"10.1109\/CSQRWC.2011.6037249"},{"key":"51_CR14","unstructured":"Watson, A.B.: Image Compression Using the Discrete Cosine Transform. In: Mathematica Journal, 4(1), pp. 81-88.(1994)"},{"key":"51_CR15","unstructured":"Cabeen, K., Gent, P.: Image compression and the discrete cosine transform. In: Math 45, pp. 1\u201311. College of the Redwoods"},{"key":"51_CR16","unstructured":"Maruthi, R., Dr. Sankarasubramanian, K.: Assessing the blurred image quality using some uni-variate and bi-variate measures. In: IJCECA-SERC-DST\u2019ISSN 0974- 4983, vol. 02, Issue No 03, Spring Edition 2010, pp. 32\u201338 (2010)"},{"issue":"3","key":"51_CR17","doi-asserted-by":"publisher","first-page":"338","DOI":"10.14429\/dsj.58.1653","volume":"58","author":"VPS Naidu","year":"2008","unstructured":"Naidu, V.P.S., Raol, J.R.: Pixel level image fusion using wavelets and PCA. Def. Sci. J. 58(3), 338\u2013352 (2008)","journal-title":"Def. Sci. J."},{"key":"51_CR18","unstructured":"Desai, D., Kulkarni, L.: A quantitative comparitive study of analytical and iterative reconstruction technique. Int. J. Image Process. (IJIP) 4, 307\u2013319 (2010)"}],"container-title":["Advances in Intelligent Systems and Computing","Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-81-322-2695-6_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,31]],"date-time":"2019-05-31T09:16:28Z","timestamp":1559294188000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-81-322-2695-6_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,25]]},"ISBN":["9788132226932","9788132226956"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-81-322-2695-6_51","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015,10,25]]}}}