Efficient implementation of a cubic-convolution based image scaling engin
In video applications, real-time image scaling techniques are often required. In this paper, an efficient implementation of a scaling engine based on 4×4 cubic convolution is proposed. The cubic convolution has a better performance than other traditional interpolation kernels and can also be realize...
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| Published in | 浙江大学学报：C卷英文版 Vol. 12; no. 9; pp. 743 - 753 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
2011
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| Online Access | Get full text |
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| Summary: | In video applications, real-time image scaling techniques are often required. In this paper, an efficient implementation of a scaling engine based on 4×4 cubic convolution is proposed. The cubic convolution has a better performance than other traditional interpolation kernels and can also be realized on hardware. The engine is designed to perform arbitrary scaling ratios with an image resolution smaller than 2560× 1920 pixels and can scale up or down, in horizontal or vertical direction. It is composed of four fimctional units and five line buffers, which makes it more competitive than conventional architectures. A strict fixed-point strategy is applied to minimize the quantization errors of hardware realization. Experimental results show that the engine provides a better image quality and a comparatively lower hardware cost than reference implementations. |
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| Bibliography: | In video applications, real-time image scaling techniques are often required. In this paper, an efficient implementation of a scaling engine based on 4×4 cubic convolution is proposed. The cubic convolution has a better performance than other traditional interpolation kernels and can also be realized on hardware. The engine is designed to perform arbitrary scaling ratios with an image resolution smaller than 2560× 1920 pixels and can scale up or down, in horizontal or vertical direction. It is composed of four fimctional units and five line buffers, which makes it more competitive than conventional architectures. A strict fixed-point strategy is applied to minimize the quantization errors of hardware realization. Experimental results show that the engine provides a better image quality and a comparatively lower hardware cost than reference implementations. Cubic-convolution, Hardware implementation, Interpolation, Engine |
| ISSN: | 1869-1951 1869-196X |