New non-separable lifting scheme for images

Kula, Michal; Barina, David; Zemčík, Pavel

doi:10.1109/siprocess.2016.7888270

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2017

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“…In our previous works [11,12], we introduced several nonseparable schemes for calculation of 2-D DWT. In this paper, we take the most promising scheme and adapt it to particular platforms.…”

Section: Background and Related Workmentioning

confidence: 99%

Accelerating discrete wavelet transforms on GPUS

Barina

Kula

Matysek

et al. 2017

2017 IEEE International Conference on Image Processing (ICIP)

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The two-dimensional discrete wavelet transform has a huge number of applications in image-processing techniques. Until now, several papers compared the performance of such transform on graphics processing units (GPUs). However, all of them only dealt with lifting and convolution computation schemes. In this paper, we show that corresponding horizontal and vertical lifting parts of the lifting scheme can be merged into non-separable lifting units, which halves the number of steps. We also discuss an optimization strategy leading to a reduction in the number of arithmetic operations. The schemes were assessed using the OpenCL and pixel shaders. The proposed non-separable lifting scheme outperforms the existing schemes in many cases, irrespective of its higher complexity.

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Section: Background and Related Workmentioning

confidence: 99%