Abstract
This paper presents a new composite scheme to tackle the non-uniform blurring that arises because of image up-scaling. The image up-scaling results in undesirable blurring artifacts at the edge and fast changing regions due to high frequency (HF) and very high frequency (VHF) degradation. Most of the widely used interpolation schemes fail to predict the HF information in up-scaled image which consequently results in undesirable blurring. In order to overcome this problem, the proposed composite scheme is developed by combining a pre-processing and a post-processing operation to efficiently restore HF and VHF information in the up-scaled image. The pre-processing operation makes use of an iterative global sharpening scheme prior to image up-scaling to boost up the high frequency information so as to alleviate the extent of blurring in the up-scaled images. The post-processing scheme is operated on the up-scaled images to enhance and predict the HF information using a local statistics based local adaptive Laplacian filter. The appropriate fusion of pre-processing and post-processing operations results in more accurate prediction of HF in the up-scaled images. Experimental results reveal that the proposed composite scheme gives much less blurring in comparison to the standalone schemes and outperform most of the widely used interpolation schemes in terms of objective and subjective measures.
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Acharya A, Meher S (2013a) Region adaptive unsharp masking based DCT interpolation for efficient video intra-frame up-sampling. IJCA Special Issue on Electric design and Signal Processing ICEDSP(3): 29–33, Feb 2013
Acharya A, Meher S (2013b) No reference fuzzy unsharp masking based DCT interpolation for better 2D up-upsampling. In Proc, IEEE International Conference on Fuzzy systems, Hyderabad, Jul 2013
Acharya A, Meher S (2013c) Region based Laplacian post-processing for better 2-D up- sampling. in Proc. of annual IEEE International Conference INDICON, IIT Bombay, Dec 2013
Acharya A, Meher S (2015) An Improved image super-resolution using local adaptive unsharp masking. In Proc IEEE International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), Vishakapatnam, Jan 2015
Aly HA, Dubois E (2005) Image up-sampling using total-variation regularization with a new observation model. IEEE Trans Image Process 14(l0):1647–1659
Blu T, Thevenaz P, Unser M (2004) Linear interpolation revitalized. IEEE Trans Image Process 13(5):710–719
Burger W, Burge MJ (2009) Principles of digital image processing: core algorithms. Springer, pp 231–232
Chena MJ, Huang CH, Lee WL (2005) A fast edge-oriented algorithm for image interpolation. Image Vis Comput 23:791–798
Cho M-K, Lee B-U (2006) Discrete cosine transform domain image resizing using correlation of discrete cosine transform coefficients. J Electron Imag 15(3):033009
Dugad R, Ahuja N (2001) A fast scheme for image size change in the compressed domain. IEEE Trans Circuit, Syst, Video Technology 11:461–474
Hou HS, Andrews HC (1978) Cubic splines for image interpolation and digital filtering. IEEE Trans. on Acoust., Speech, Signal Process ASSP-26(6):508–517
Hung K-W, Siu W-C (2010) Improved image interpolation using bilateral filter for weighted least square estimation. Proc IEEE Int Conf Image Processing (ICIP 2010), pp 3297–3300, 26–29 September, 2010, Hong Kong
Hung K-W, Siu W-C (2012) Robust soft-decision interpolation using weighted least squares. IEEE Trans Image Process 21(3):1061–1069
Hung K-W, Siu W-C (2013) Hybrid DCT-Wiener-based interpolation via learnt Wiener filter. In Proc IEEE Int Conf Acoust, Speech, Signal Process, pp 1419–1423, May 2013
Keys RG (1981) Cubic convolution interpolation for digital image processing. IEEE Trans on Acoust, Speech, Signal Process ASSP-29(6):1153–1160
Lee SW, Paik JK (1993) Image interpolation using adaptive fast Bspline filtering. Proc IEEE Int Conf Acoustics, Speech, Signal Processing (ICASSP 1993) 5:177–180
Lehmann T, Gonner C, Spitzer K (2001) Addendum: B-spline interpolation in medical image processing. IEEE Trans on Med Imag 20(7):660–665
Li M, Nguyen (2008) Markov random field model-based edge directed image interpolation. IEEE Trans Image Process l7(7):1121–1128
Lim H, Park HW (2011) A ringing-artifact reduction method for block DCT-based image resizing. IEEE Trans Circuits Syst Video Technol 21(7):879–889
Mukherjee J, Mitra SK (2002) Image resizing in the compressed domain using subband DCT. IEEE Trans Circuits, Syst, Video Technology 12:620–627
Ren J, Liu J, Bai W, Guo Z (2011) Similarity modulated block estimation for image interpolation. Proc IEEE Int Conf Image Processing (ICIP 2011), pp 1 l77–ll80, 11–14 Sept 2011, Brussels, Belgium
Sajjad M, Ejaz N, Mehmood I, Baik SW (2013) Digital image super-resolution using adaptive interpolation based Gaussian function. Multi Tool Appl, Springer 74(20):8961–8977
Smit T, Smith MR, Nichols ST (1990) Efficient sinc function interpolation technique for center padded data. IEEE Trans Acoust, Speech, Signal Processing 38:1512–1517
Tang K, Au OC, Fang L, Yu Z, Guo Y (2011) Image interpolation using autoregressive model and gauss-seidel optimization. Proc Sixth Int Conf on Image and Graphics (ICIG 2011), pp 66–69, 12–15 Aug 2011, Hefei, Anhui, China
Wong C-S, Siu W-C (2010a) Further improved edge-directed interpolation and fast EDI for SDTV to HDTV Conversion. Proc 18th European Signal Processing Conference (EUSIPCO 2010), pp 309–313, 23–27 Aug 2010, Aalborg Denmark
Wong C-S, Siu W-C (2010b) Adaptive directional window selection for edge- directed interpolation. Proc ICCCN 2010, Workshop on Multimedia Computing and Communications, MMCI, No. 4, pp 1–6, 2–5 Aug 2010, Zurich, Switzerland
Wu Z, Yu H, Chen CW (2010) A new hybrid DCT wiener based interpolation scheme for video intraframe up-sampling. IEEE signal processing letters 17(10):827–830
Yang S, Kim Y, Jeong J (2008) Fine edge-preserving technique for display devices. IEEE Trans on Consumer Electronics 54(4):1761–1769
Yaroslavsky LP (1996) Signal sinc-interpolation: a fast computer algorithm. Bioimaging 4:225–231
Ye W, Entezari A (2011) A geometric construction of multivariate sinc functions. IEEE Transaction on Image processing 19(12):2969
Zhang X, Wu X (2008) Image interpolation by adaptive 2-D autoregressive modeling and soft-decision estimation. IEEE Trans Image Process 17(6):887–896
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Acharya, A., Meher, S. Composite high frequency predictive scheme for efficient 2-D up-scaling performance. Multimed Tools Appl 77, 2153–2189 (2018). https://doi.org/10.1007/s11042-017-4346-1
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DOI: https://doi.org/10.1007/s11042-017-4346-1