Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Measurement of visual quality is of fundamental importance to some image processing applications. And the perceived image distortion of any image strongly depends on the local features, such as edges, flats and textures. Since edges often convey much information of an image,  propose a novel algorithm for image quality assessment based on the edge and contrast similarity beten the distorted image and the reference(perfect) image.  demonstrate its promise through a set of intuitive examples, as ll as validate its performance with subjective ratings.  also compare our method with two other state-of-the-art objective ones, which uses 550 images with different distortion types and BP neural network.
['Wei Fu', 'Xiaodong Gu', 'Yuanyuan Wang']
I am writing a research paper on a idea Image quality assessment using edge and contrast similarity
[{"from": "human", "value": "I am writing a research paper on a idea Image quality assessment using edge and contrast similarity"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Measurement of visual quality is of fundamental importance to some image processing applications. And the perceived image distortion of any image strongly depends on the local features, such as edges, flats and textures. Since edges often convey much information of an image,  propose a novel algorithm for image quality assessment based on the edge and contrast similarity beten the distorted image and the reference(perfect) image.  demonstrate its promise through a set of intuitive examples, as ll as validate its performance with subjective ratings.  also compare our method with two other state-of-the-art objective ones, which uses 550 images with different distortion types and BP neural network."}]