© The Institution of Engineering and Technology
An objective novel evaluation approach, implemented by the benchmark function-based peak signal-to-noise ratio, particularly suitable for evaluating the performance of a large-scale enlargement of a small size image is proposed in this study. Also, a fast large-scale image enlargement method via the improved discrete cosine transform (DCT) is proposed to improve the quality and speed of image zooming. The proposed image enlargement algorithm based on DCT saves computation time by multiplication of the DCT matrix. Compared with the traditional DCT approach, the improved approach overcomes the image shifting and blocky effects. In comparisons with other interpolation methods, DCT enlargement outperforms them in edge details because it considers the global frequency information of the whole image. With the DCT enlargement, it is easy to implement the arbitrary pixel-size-based zooming of an image by employing the different size of transform matrix. Illustrative examples show the effectiveness of the proposed approach.
References
-
-
1)
-
16. Kawano, H., Suetake, N., Cha, B., Aso, T.: ‘Sharpness preserving image enlargement by using self-decomposed codebook and mahalanobis distance’, Image Vis. Comput., 2009, 27, pp. 684–693 (doi: 10.1016/j.imavis.2008.07.013).
-
2)
-
3)
-
23. Chang, C.C., Chou, Y.C., Yu, Y.H., Shih, K.J.: ‘An image zooming technique based on vector quantization approximation’, Image Vis. Comput., 2005, 23, pp. 1214–1225 (doi: 10.1016/j.imavis.2005.07.020).
-
4)
-
W.K. Carey ,
D.B. Chuang ,
S.S. Hemami
.
Regularity-preserving image interpolation.
IEEE Trans. Image Process.
,
9 ,
1293 -
1297
-
5)
-
10. Choi, B.D., Yoo, H.: ‘Design of piecewise weighted linear interpolation based on even-odd decomposition and its application to image resizing’, IEEE Trans. Consum. Electron., 2009, 55, pp. 2280–2286 (doi: 10.1109/TCE.2009.5373799).
-
6)
-
1. Gonzalez, R.C., Woods, R.E.: ‘Digital image processing’ (Prentice Hall, 2007, 3rd ed.).
-
7)
-
5. Guo, S.M., Li, C.B., Chen, C.W., Liao, Y.C., Tsai, J.S.H.: ‘Enlargement and reduction of image/video via discrete cosine transform pair --- part i: Novel 3-d DCT and enlargement’, J. Electron. Imag., 2007, 16, p. .
-
8)
-
Z. Wang ,
A.C. Bovik
.
Mean squared error: love it or leave it? A new look at signal fidelity measures.
IEEE Signal Process. Mag.
,
1 ,
98 -
117
-
9)
-
6. Guo, S.M., Hsu, C.Y., Shih, G.C., Chen, C.W.: ‘Fast pixel-size-based large scale enlargement and reduction of image: An adaptive combination of bilinear interpolation and DCT’, J. Electron. Imaging, 2011, 20, pp. 033005–1∼033005–15 (doi: 10.1117/1.3603937).
-
10)
-
11. Han, J.W., Kim, J.H., Cheon, S.H., Kim, J.O., Ko, S.J.: ‘A novel image interpolation method using the bilateral filter’, IEEE Trans. Consum. Electron., 2010, 56, pp. 175–181 (doi: 10.1109/TCE.2010.5439142).
-
11)
-
3. Zhang, X., Lam, K.M., Shen, L.: ‘Image magnification based on a blockwise adaptive markov random field model’, Image Vis. Comput., 2008, 26, pp. 1277–284 (doi: 10.1016/j.imavis.2008.03.003).
-
12)
-
13)
-
15. Dai, S., Han, M., Xu, W., Wu, H.Y., Gong, Y.: ‘Soft edge smoothness prior for alpha channel super resolution’. , June 2007, pp. 1–8.
-
14)
-
18. Hong, S.H., Park, R.H., Yang, S., Kim, J.Y.: ‘Image interpolation using interpolative classified vector quantization’, Image Vis. Comput., 2008, 26, pp. 228–239 (doi: 10.1016/j.imavis.2007.05.002).
-
15)
-
14. Shao, W.Z., Wei, Z.H.: ‘Edge-and-corner preserving regularization for image interpolation and reconstruction’, Image Vis. Comput., 2008, 26, pp. 1591–1606 (doi: 10.1016/j.imavis.2008.03.002).
-
16)
-
17. Lee, J.H., Kim, J.O., Han, J.W., Choi, K.S., Ko, S.J.: ‘Edge-oriented two-step interpolation based on training set’, IEEE Trans. Consum. Electron., 2010, 56, pp. 1848–1855 (doi: 10.1109/TCE.2010.5606336).
-
17)
-
9. Lin, C.C., Sheu, M.H., Chiang, H.K., Liaw, C.: ‘High-performance very large scale integration architecture design for various-ratio image scaling’, J. Electron. Imaging, 2008, 17, pp. 1–11.
-
18)
-
20. Chen, H.Y., Leou, J.J.: ‘Saliency-directed color image interpolation using artificial neural network and particle swarm optimization’, Vis. Commun. Image Represent., 2012, 23, pp. 343–358 (doi: 10.1016/j.jvcir.2011.11.006).
-
19)
-
M.-J. Chen ,
C.-H. Huang ,
W.-L. Lee
.
A fast edge-oriented algorithm for image interpolation.
Image Vis. Comput.
,
791 -
798
-
20)
-
19. Zhang, S., Lu, Y.: ‘Image resolution enhancement via image restoration usingneural network’, J. Electron. Imaging, 2011, 20, pp. 1–10 (doi: 10.1117/1.3665125).
-
21)
-
2. Wee, Y.C., Shin, H.J.: ‘A novel fast fractal super resolution technique’, IEEE Trans. Consum. Electron., 2010, 56, pp. 1537–1541 (doi: 10.1109/TCE.2010.5606294).
-
22)
-
W. Zhang ,
W.K. Cham
.
Hallucinating face in the DCT domain.
IEEE Trans. Image Process.
,
10 ,
2769 -
2779
-
23)
-
4. Liang, X., Gan, Z.: ‘Improved non-local iterative back-projection method for image super-resolution’. 2011 Sixth Int. Conf. on Image and Graphics, 2011, pp. 176–181.
-
24)
-
12. Lee, D.H.: ‘A new edge-based intra-field interpolation method for deinterlacing using locally adaptive-thresholded binary image’, IEEE Trans. Consum. Electron., 2008, 54, pp. 110–115 (doi: 10.1109/TCE.2008.4470032).
-
25)
-
R.G. Keys
.
Cubic convolution interpolation for digital image processing.
IEEE Trans. Acoust. Speech Signal Process.
,
6 ,
1153 -
1160
-
26)
-
8. Demirel, H., Anbarjafari, G.: ‘Discrete wavelet transform-based satellite image resolution enhancement’, IEEE Trans. Geosci. Remote Sens., 2011, 49, pp. 1997–2004 (doi: 10.1109/TGRS.2010.2100401).
-
27)
-
21. Jin, L., Li, D., Song, E.: ‘Combining vector ordering and spatial information for color image interpolation’, Image Vis. Comput., 2009, 27, pp. 410–416 (doi: 10.1016/j.imavis.2008.06.007).
-
28)
-
29)
-
25. Xiuhua, J., Caiming, Z.: ‘A fast idct algorithm for image decompression’, Chin. J. Comput., 2005, 28, pp. 2079–2088.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2014.0293
Related content
content/journals/10.1049/iet-ipr.2014.0293
pub_keyword,iet_inspecKeyword,pub_concept
6
6