Motion estimation using low-band-shift method for wavelet-based moving-picture coding

Park, Hyun-Wook; Kim, Hyung Sun

doi:10.1109/83.841935

Cited by 135 publications

(5 citation statements)

References 18 publications

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“…They work in the spatial domain (e.g., HINODE), or pixel domain, [27][28][29] frequency or Fourier domain, 30,31 and wavelet domain. 32 In case of Sun surface motion estimation, the spatial and frequency domain alternatives are preferred 33 as, in general terms, they are less complex to implement, reducing the delay introduced by the algorithm calculations. For this reason, although there are implementations of wavelets in FPGAs or applicationspecific integrated circuits, [34][35][36][37] they have been discarded.…”

Section: Motion Estimation Algorithmsmentioning

confidence: 99%

Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

Roma

Carmona²,

Bosch³

et al. 2019

J. Astron. Telesc. Instrum. Syst.

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The polarimetric and helioseismic imager instrument for the Solar Orbiter mission from the European Space Agency requires a high stability while capturing images, specially for the polarimetric ones. For this reason, an image stabilization system has been included in the instrument. It uses global motion estimation techniques to estimate the jitter in real time with subpixel resolution. Due to instrument requirements, the algorithm has to be implemented in a Xilinx Virtex-4QV field programmable gate array. The algorithm includes a 2-D paraboloid interpolation algorithm based on 2-D bisection. We describe the algorithm implementation and the tests that have been made to verify its performance. The jitter estimation has a mean error of 1 25 pixel of the correlation tracking camera. The paraboloid interpolation algorithm provides also better results in terms of resources and time required for the calculation (at least a 20% improvement in both cases) than those based on direct calculation.

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Section: Motion Estimation Algorithmsmentioning

confidence: 99%

Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

Roma

Carmona²,

Bosch³

et al. 2019

J. Astron. Telesc. Instrum. Syst.

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“…Varied forms various scheme. For instance, the used in in-band MC based on low-bands shifting (LBS) [17] consist of inverse DWT, over-complete DWT by translating. Being similar with in-band MC, in-scale MC adopts fixed predictors.…”

Section: Layer-based Prediction Compensation Formulationmentioning

confidence: 99%

Level-by-Level Adaptive Disparity Compensated Prediction in Wavelet Domain for Stereo Image Coding

Jia

2015

Image Analysis and Processing — ICIAP 2015

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Disparity compensation prediction and transform coding are incorporated into a hybrid coding to reduce the bit-rate of multi-view images. However, aliasing and inaccurate displacement impair the performance of disparity compensation, especially in wavelet domain. In this paper, we propose a level-bylevel adaptive disparity compensated prediction scheme for scalable stereo image coding. To get spatial scalable feature, wavelet transform is first applied to the target image of a stereo image pair. A separable 2-D filter applied to the reference image is optimized for each resolution layer by minimizing the energy of the prediction high-bands of the target image. To form a multi-resolution representation, similar processes are then applied to the low-band image pairs generated by the prior resolution layer iteratively. Experimental results show that the proposed scheme can provide significant coding gain compared to other scalable coding scheme.

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“…Currently, a few research groups have been concerned about ODWT construction [6], [7], [8], [10], and only the prediction filters method has absolutely achieved spatial scalability [7], [8]. Methods in [6] and [10] require the inverse quantization and IDWT before generating the ODWT. These schemes are limited when the resolution scalability is required, because the high-frequency subbands of finer resolution levels may be truncated at the decoder.…”

Section: In-band Disparity Compensated View Filteringmentioning

confidence: 99%

“…Consequently, in-band motion estimation has been investigated by predicting subband-to-subband, but the shift variance as a result of the decimation process in the wavelet transform frequently causes the inefficient estimation in high-pass subbands. The solution to this problem has been firstly introduced by using Low-Band-Shift method [6]. This approach generates all possible subbands of reference frames by shifting one pixel in horizontal, vertical and diagonal directions.…”

Section: Introductionmentioning

confidence: 99%

Multi-view image coding with wavelet lifting and in-band disparity compensation

Anantrasirichai

Canagarajah

Bull

2005

IEEE International Conference on Image Processing 2005

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Abstract-This paper presents a novel framework to achieve scalable multi-view image coding. As open loop operation, the wavelet lifting scheme for geometric filtering has been exploited to overcome the limitation of SNR scalability and to attain view scalability. The essential key for achieving the spatial scalability is the in-band prediction. It removes correlations among subbands level-by-level via shift-invariant references obtained by Overcomplete Discrete Wavelet Transforms (ODWT). Additionally, the proposed disparity compensated view filtering is allowed to exploit the different filters and estimation parameters for each resolution level. The experiments show comparable results at full resolution and the significant improvement at coarser resolution over the conventional spatial prediction scheme.

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Motion estimation using low-band-shift method for wavelet-based moving-picture coding

Cited by 135 publications

References 18 publications

Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

Subpixel real-time jitter detection algorithm and implementation for polarimetric and helioseismic imager

Level-by-Level Adaptive Disparity Compensated Prediction in Wavelet Domain for Stereo Image Coding

Multi-view image coding with wavelet lifting and in-band disparity compensation

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