ZHAO Baojun and DENG Chenwei, “Image Quality Evaluation Method Based onHuman Visual System,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 129-132, 2010,
Citation:
ZHAO Baojun and DENG Chenwei, “Image Quality Evaluation Method Based onHuman Visual System,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 129-132, 2010,
ZHAO Baojun and DENG Chenwei, “Image Quality Evaluation Method Based onHuman Visual System,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 129-132, 2010,
Citation:
ZHAO Baojun and DENG Chenwei, “Image Quality Evaluation Method Based onHuman Visual System,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 129-132, 2010,
MSE, PSNR, SSIM and other traditional objective image assessment metrics simply calculate sta- tistical average results between original images and recon- structed ones, which is incompatible with human visual system. To address this issue, a joint subjective and ob- jective image quality evaluation method is proposed. It has the following features: ¯rstly, the subjective feelings of re- constructed image are measured quantitatively in wavelet domain; secondly, only noticeable visual distortion is uti- lized in this model; lastly, based on di®erent character- istics of spatio-temporal frequency response, eye-sensitive wavelet coe±cients are enhanced, while those non-sensitive ones are inhibited. Experimental results show that the pro- posed model has simple structure and is easy-to-operate; furthermore, it can re°ect the visual e®ects accurately and objectively.