BibTeX:

@article{IJIRSTV2I5060,
     title={IMAGE AND VIDEO QUALITY ESTIMATION BASED ON TREE STRUCTURE WATERMARKING USING KD-TREE COMPLEXITY ANALYSIS},
     author={Devika U K and Neena Alex},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={5},
     pages={175--181},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I5060.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Quality estimation of image and video is very important. There are various quality estimation techniques including full reference, reduced reference and no reference quality metrics. In these quality metrics reduce reference and no reference quality metrics are more practical than full reference quality metrics. In this paper quality estimation based on tree structure watermarking using k-d tree complexity analysis is used. The proposed method uses embedded watermark to estimate the quality of cover video and image under distortions. The watermarking is done on the dwt domain of the cover image and video. The dwt coefficients are categorized in to hierarchical tree and the watermarking is done on the selected bit planes. Complexity analysis used to find out how much details an image and video contains for that kd-tree based complexity analysis is used. The quality is estimated under different distortion strength in terms of PSNR and QOI.

watermarking based quality estimation, complexity analysis, DWT based watermarking, k-d tree