Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter, a no-reference (NR) hybrid image quality assessment (IQA) metric based on cartoon-texture decomposition (CTD) is presented. Focusing on images distorted by both blur and noise, the method takes properties of CTD to separate image into cartoon part with salient edges and texture part with noises. Then, the blur degree and noise level can be estimated separately from different image parts, combine with a joint effect prediction beten blur and noise distortions,  present a cartoon-texture decomposition-based blind metric (CTDBBM). Comparative studies with classical full-reference IQA metrics and state-of-the-art NR metrics are conducted on multidistortion image database: LIVEMD. Experimental results show that the CTDBBM performs ll and has a high consistency with the human opinions given in the database.
['Feiyan Zhang', 'Badri Roysam']
I am writing a research paper on a idea Blind Quality Metric for Multidistortion Images Based on Cartoon and Texture Decomposition
[{"from": "human", "value": "I am writing a research paper on a idea Blind Quality Metric for Multidistortion Images Based on Cartoon and Texture Decomposition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter, a no-reference (NR) hybrid image quality assessment (IQA) metric based on cartoon-texture decomposition (CTD) is presented. Focusing on images distorted by both blur and noise, the method takes properties of CTD to separate image into cartoon part with salient edges and texture part with noises. Then, the blur degree and noise level can be estimated separately from different image parts, combine with a joint effect prediction beten blur and noise distortions,  present a cartoon-texture decomposition-based blind metric (CTDBBM). Comparative studies with classical full-reference IQA metrics and state-of-the-art NR metrics are conducted on multidistortion image database: LIVEMD. Experimental results show that the CTDBBM performs ll and has a high consistency with the human opinions given in the database."}]