Rattanapitak, Wirat
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Rattanapitak, Wirat
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wirat.ra@kmitl.ac.th
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Item type:Publication, Multi-focus image fusion based on Stationary Wavelet Transform and extended Spatial Frequency Measurement(2009-04-20); Udomhunsakul, SomkaitIn this paper, we propose a multi-focus image fusion approach based on Stationary Wavelet Transform (SWT) and extended the Spatial Frequency Measurements (SFM). Our proposed approach, two fused images are firstly decomposed into four subbands, which are one approximation subband (LL) and three details subbands (HL, LH and HH). Next, each subband is partitioned into blocks and each block is identified the clearer regions by computing the focus measure using the extended Spatial Frequency Measurement (SFM). Finally, the recovered fused image is reconstructed by performing the Inverse Stationary Wavelet Transform. From the experimental results, we found that the proposed method outperforms the traditional Wavelet Transform and SFM based methods in terms of objective and subjective assessments. © 2009 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparative efficiency of Wavelet filters for multi-focus color image fusion(2010-09-02); Udomhunsakul, SomkaitThe comparative efficiency of Wavelet filters for multi-focus color image fusion is presented in this paper. Our experiment purposes are study and examine the suitable mother wavelets for using in multi-focus color image fusion. In fusion process, we use HSI color model and the fusing technique based on Stationary Wavelet Transform with Extended Spatial Frequency Measurement method. In our experiments, we investigate the effect of applying different types of wavelet filters belonging to orthogonal and biorthogonal wavelets with different orders. The wavelet filter used are Daubichies4, 8, 10, 12, 14, 16, 18 and Biorthogonal2.2, 2.4, 2.6, 2.8, 3.1, 3.3, 3.5, 3.7, 3.9, 4.4, 5.5, and 6.8. The fused image quality assessment is measured using Peak Signal to Noise Ratio. The result indicated that Biorthogonal 3.3 and 3.5 are proper choices for multi-focus color image fusion. © 2010 IEEE. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparative efficiency of color models for multi-focus color image fusion(2010-12-01); Udomhunsakul, SomkaitThe comparative efficiency of color models for multi-focus color image fusion is presented in this paper. The objective of these experiments is to finding the proper color model for using in multi-focus color image fusion. In our research study, firstly we transform RGB color model of source images into four color models that are YIQ, YCbCr, HSV and HSI color models. Next, the intensity or luminance component is only used in fusion process using Spatial Frequency Measurement based fusion method compared with Stationary Wavelet Transform with Extended Spatial Frequency Measurement. Finally, the fused image results are transformed back to RGB model to get the final results. The experiments show that the YCbCr color model outperforms other color models in term of objective quality assessment.