Performance Evaluation of Super Resolution Image Reconstruction using IWT and BPT with Different Colour Transforms
نویسندگان
چکیده
Super resolution (SR) images play an important role in Image processing applications. Spatial resolution is the key parameter in many applications of image processing. Super resolution images can be used to improve the spatial resolution. In this paper a new SR image reconstruction algorithm is proposed using Integer wavelet transform (IWT) and Binary plane technique (BPT). The proposed method is analyzed in different color space transforms such as CIELAB, YCbCr and RGB. In this paper we compared PSNR, ISNR, Blocking effect and Homogeneity with different colour images in RGB, YCbCr and CIELAB domains. Qualitative analysis shows that the proposed method in CIELAB color space transforms has better performance.
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Binary Plane Techniques for Super Resolution Image Reconstruction in Transform Domain
Spatial resolution is a key parameter in many applications of image processing. In order to improve the spatial resolution we make use of super resolution algorithms. In this paper an SR image reconstruction algorithm is proposed using Integer wavelet transform (IWT) and Bit plane technique (BTP). The proposed method is analyzed in different color space transforms such as RGB, Ycbcr and CIELAB ...
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