References
- Agrawal, A., and Raskar, R. (2007). Resolving objects at higher resolution from a single motion-blurred image. In Proceedings of CVPR, 1-8.
- Anju Rani, Gagandeep Kaur (2014). Image Enhancement using Image Fusion Techniques. International Journal of Advanced Research in Computer Science and Software Engineering, 4(9), 413-416.
- Azeddine Beghdadi, and Razvan Iordache (2006). Image quality assessment using the joint spatial/spatial-frequency representation. EURASIP J. Appl. Signal Processing 2006, 2006. Article ID 80537, p.8.
- B. Bascle, Blake and A. Zisserman (1996). Motion deblurring and super-resolution from an image sequence. ECCV96, 573-582.
- D. A. Yocky (1995). Image merging and dada fusion by means of the discrete two-dimensional wavelet transform. J. Opt. Soc. Amer. A, 12(9). 1834-1841. https://doi.org/10.1364/JOSAA.12.001834
- Deepak Kumar Sahu1 (2012). Different Image Fusion Techniques -A Critical Review. International Journal of Modern Engineering Research, 2(5), 4298-4301.
- D. Kundur and D. Hatzinakos (1996). Blind image deconvolution revisited. SPMag, 13(6), 61-63.
- Dong ping Tian (2013). A Review on Image Feature Extraction and Representation Techniques. International Journal of Multimedia and Ubiquitous Engineering, 8(4), 385-395.
- Du-Yih Tsai, Yongbum Lee, Eri Matsuyama (2008). Information Entropy Measure for Evaluation of Image Quality. Journal of Digital Imaging, 21(3), 338-347. https://doi.org/10.1007/s10278-007-9044-5
- J. Astola and I. Virtanen (1982). Entropy correlation coefficient a measure of statistical dependence for categorized data, Proc. Univ. Vaasa, Discussion Papers, No. 44.
- M. A. T. Figueiredo, J. M. Biocucas-Dias, R. D. Nowwak (2007). Majorizarion-Minimization Algorithms foe Wavelet-Based Image Restiration. IEEE Transactions on Image Processing, 16(12), 2980-2991, December.
- Moon KyungIl, Kim Chul (2011). A DFT Deblurring Algorithm of Blinf Blur Image. Korea Association of Information Education, 15(3), 517-524.
- Moshe Ben-Ezra, Shree K. Nayer (2003). Motion Deblurring using hybrid imaging, Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition, pp.657-664, June 18-20, Madison, Wisconsin.
- Nikhil Kumar Rajput, Ankit Rajpal, Amit Kumar Singh, Dilip Senapati (2014). A survey of entropy based image thresholding techniques. International Journal of Enhanced Research in Management & Computer Applications, 3(2), 19-21.
- S. Reeves and R. Mersereau (1992). Blur identification by the method of generalized cross-validation. IEEE Transactions on Image Processing, 1, 301-311. https://doi.org/10.1109/83.148604
- Viswanathan Vaithiyanathan, B. Karthikeyan, and Bhaskar Venkatraman (2014). Image Segmentation Based on Modified Tsallis Entropy. Contemporary Engineering Sciences, 7(11), 523-529. https://doi.org/10.12988/ces.2014.4439
- Zhou Wang, Alan Bovik, Eero Simoncelli (2004). Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Processing, 13(4), 600-612. https://doi.org/10.1109/TIP.2003.819861