Super-Resolution Image with Estimated High Frequency Compensated algorithm

Wang, Jong-Tzy; Liang, Kai Ming; Chang, Shu-Fan; Chang, Pao-Chi

doi:10.1109/iscit.2009.5341263

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…Wang et al 5 proposed the new an estimated high frequency compensated (EHFC) algorithm for image SR in which high frequency compensated models are combined with IBP method according to different applications. Patel et al 6 proposed a method which combines the IBP method with the edge preserving ISEF.…”

Section: Previous Workmentioning

confidence: 99%

An Improved Iterative Back Projection Based Single Image Super Resolution Approach

Bareja¹,

Modi²

2014

Int. J. Image Grap.

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In this paper, an effort is made to propose an effective image super resolution (SR) approach to recover a high resolution (HR) image from a single low resolution (LR) image. This approach is based on an iterative back projection (IBP) method with the edge preserving infinite symmetric exponential filter (ISEF) and difference image. Amalgamation of ISEF and difference image provides high frequency information. This approach is applied on different type of images and compared results with different existing image SR approaches. Simulation results demonstrate that proposed approach can more precisely enlarge the LR image. This proposed approach decreases mean square error (MSE) and mean absolute error (MAE) and increases the peak signal-to-noise ratio (PSNR) significantly compared to other existing approaches.

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Section: Previous Workmentioning

confidence: 99%

An Improved Iterative Back Projection Based Single Image Super Resolution Approach

Bareja¹,

Modi²

2014

Int. J. Image Grap.

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“…Use of non-local filter in the modifying process greatly reduces the time consumption. In [7], J. Wang et al proposed the new an Estimated High Frequency Compensated (EHFC) algorithm for super resolution images. It is based on IBP method combined with compensated high frequency models according to different applications.…”

Section: Imentioning

confidence: 99%

Novel Iterative Back Projection Approach

Shreyas¹

2013

IOSR-JCE

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This paper addresses the problem of recovering a super-resolved image from a single low resolution input. This is a hybrid approach of single image super resolution. The technique is based on combining an Iterative back projection (IBP) method with the edge preserving Infinite symmetrical exponential filter (ISEF).It is based on IBP method combined with compensated high frequency models according to different applications. In [9], proposed we propose an estimation of HR image using IBP method integrated with high frequency information. We combine the IBP

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“…In [9], Liang et al proposed an improved NLIBP fast algorithm in which edges are detected on the initially interpolated image.Time consumed is greatly reduced by the use of nonlocal filter in the modifying process. J. Wang et al [10] proposed the new an Estimated High Frequency Compensated (EHFC) algorithm for super resolution images. It effectively combines the IBP method with compensated high frequency models according to different applications.…”

Section: Introductionmentioning

confidence: 99%

LWT based Image Super Resolution

Christopher¹,

C²

2015

IJERT

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This paper presents an effective approach to recover a high resolution image from a single low resolution input image. In this technique lifting wavelet transform and stationary wavelet transform is used to increase the spatial resolution .The wavelet domain filters support to model the regularity of natural images while the edge details of image get sharper while up sampling. An iterative back projection method is used to reconstruct the high resolution image in an efficient iterative manner. Experimental results demonstrate that the proposed approach is very effective in increasing resolution compared to state-of-art super-resolution algorithms.

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Super-Resolution Image with Estimated High Frequency Compensated algorithm

Cited by 9 publications

References 12 publications

An Improved Iterative Back Projection Based Single Image Super Resolution Approach

An Improved Iterative Back Projection Based Single Image Super Resolution Approach

Novel Iterative Back Projection Approach

LWT based Image Super Resolution

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