Wavelet domain image resolution enhancement

Temizel, Alptekin; Vlachos, T.

doi:10.1049/ip-vis:20045056

Cited by 57 publications

(38 citation statements)

References 2 publications

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“…The basic idea behind wavelet-based resolution enhancement techniques is to preserve the information at the high-frequency subbands of the low resolution image [22,29]. In chapter 3, after a comprehensive bibliographic study of The image registration process is illustrated in …”

Section: Overview Of the Thesismentioning

confidence: 99%

“…An application of the wavelet transform is its contribution to image resolution enhancement. Wavelet-based resolution enhancement techniques improve the resolution of the given image by approximating the preserved information at its high-frequency subband [22][23][24][25][26][27][28][29]. Wavelet transform decomposes the image into different low and high frequency subbands.…”

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confidence: 99%

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Motion block based video super resolution

Izadpanahi

Demirel

2013

Digital Signal Processing

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A multi-frame super resolution process can be used for enhancing the resolution of video frames by employing the information of consecutive low-resolution frames taken from almost the same scene. Most of these super resolution algorithms are only suitable for global motion model. Nevertheless, if a local motion pattern such as movements of some objects happens between the low resolution frames a global motion model cannot provide efficient performance. Considering this problem, we propose a novel super resolution framework, where the moving and static regions in video frames are processed separately. Occlusion is another issue, which is not considered in most of the video super resolution processes. This problem occurs when a new object appears or an object disappears in the video frames. The proposed motionblock based super resolution method not only offers a local motion model but also deals with the occluded areas in a proper way.This thesis presents a new video super resolution technique, based on the motion and static areas of the low resolution video frames. In order to separate the motion and static blocks, a block motion estimation method is employed between a reference and its neighbouring frames. Among the motion blocks, the occluded blocks are identified using an adaptive threshold applied on each block individually. Structure-adaptive normalized convolution (SANC) reconstruction method is used to generate the high resolution static and motion blocks where discrete wavelet transform (DWT) based interpolation is used to produce the high resolution occluded blocks. The static and motion blocks are combined into a high resolution frame.

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Section: Overview Of the Thesismentioning

confidence: 99%

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confidence: 99%

Motion block based video super resolution

Izadpanahi

Demirel

2013

Digital Signal Processing

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“…[5]. Temizel, A. proposed two algorithms to enhance an image resolution by the estimation of detail wavelet coefficients at high resolution scales and cycle-spinning methodology in the wavelet domain respectively [6]. Xiao, D. respectively presented an algorithm to enhance the contrast of an image by modifying both coarse and detail coefficients [7].…”

Section: Introductionmentioning

confidence: 99%

Objective Quality Assessment Measurement for Typhoon Cloud Image Enhancement

Zhang

Lü

Wang

2009

Image Analysis and Processing – ICIAP 2009

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Abstract. There are kinds of enhancement methods for satellite image, however, visual quality of them are basically assessed by human eyes. This can result in wrong identification. This will result in wrong prediction for center and intensity of the typhoon. It is necessary to find an objective measure to evaluate the visual quality for enhanced typhoon cloud image. In order to solve this problem, we give an objective assessment measurement based on information, contrast and peak-signal-noise-ratio. We design an experiment to certify the proposed measure by using the typhoon cloud images which are provided by China Meteorological Administration, China National Satellite Meteorological Center.

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“…Wavelet-based methods [1]- [8] enhanced the image resolution by estimating the preserved high frequency information from the given images. They were based on the assumption that the image to be enhanced was the lowfrequency subband among wavelet-transformed subbands of the original one and the target is to estimate the high frequency subbands of wavelet transform, so that a resolution-enhanced image can be obtained.…”

Section: Introductionmentioning

confidence: 99%

“…Cycle-spinning based resolution enhancement methods were also proposed recently in [6] and [7], where the ringing artifacts caused by decimation were eliminated by averaging out the translated zero-padded reconstruction images, and by using the local edge orientation to influence cycle spinning parameters. In [8], the unknown wavelet coefficients are estimated by utilizing existing correlation between neighbouring coefficients. However, the correlation of the undecimated subbands is not similar to the correlation of the decimated subbands.…”

Section: Introductionmentioning

confidence: 99%

Image Resolution Enhancement using Inter-Subband Correlation in Wavelet Domain

Piao

Shin

Park

2007

2007 IEEE International Conference on Image Processing

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Wavelet-based resolution enhancement methods improve the image resolution by estimating the high-frequency band information. In this paper, we propose a new resolution enhancement method using inter-subband correlation in which the sampling phase in DWT is considered. Interpolation filters are designed by analyzing correlations between subbands having different sampling phases in the lower level, and applied to the correlated subbands in the higher level. The filters are estimated under the assumption that correlations between two subbands in the higher level are similar to that in the lower level in DWT. The experimental results show that our proposed method outperforms the conventional interpolation methods including the other wavelet-based methods with respect to peak signal-to-noise-ratio (PSNR) as well as the subjective quality.

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Wavelet domain image resolution enhancement

Cited by 57 publications

References 2 publications

Motion block based video super resolution

Motion block based video super resolution

Objective Quality Assessment Measurement for Typhoon Cloud Image Enhancement

Image Resolution Enhancement using Inter-Subband Correlation in Wavelet Domain

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