Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , one-dimensional (1-D) grey polynomial interpolators (GPIs) for image enlargement are proposed. Note that (i) the randomness inherent in image data affects the performance of polynomial interpolators (Pis) in image enlargement, and (ii) that the preprocessing scheme in grey systems, the first-order accumulated generating operation (I-AGO), is able to reduce randomness in data. , 1-D grey polynomial interpolators are developed for image enlargement where 1-AGO is used to preprocess image data. To improve the performance of GPIs further, an a filter is applied to smoothen the interpolated pixels. Examples are given to verify the proposed 1-D GPIs. Simulation results indicate that the 1-D GPIs have better performance than the 1-D Pis in terms of PSNR. Besides, the 1-D GPIs are compared with ll-known 2-D polynomial interpolators in image enlargement, i.e., the nearest-neighbor interpolator, the bilinear interpolator, and the bicubic interpolator. Interesting enough, the 1-D 2-order GPIs performs little better than the 2-D bicubic interpolator in PSNR on average, with equally ll visual quality.
['Cheng-Hsiung Hsieh', 'Ren-Hsien Huang', 'Ting-Yu Feng']
I am writing a research paper on a idea One-Dimensional Grey Polynomial Interpolators for Image Enlargement
[{"from": "human", "value": "I am writing a research paper on a idea One-Dimensional Grey Polynomial Interpolators for Image Enlargement"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , one-dimensional (1-D) grey polynomial interpolators (GPIs) for image enlargement are proposed. Note that (i) the randomness inherent in image data affects the performance of polynomial interpolators (Pis) in image enlargement, and (ii) that the preprocessing scheme in grey systems, the first-order accumulated generating operation (I-AGO), is able to reduce randomness in data. , 1-D grey polynomial interpolators are developed for image enlargement where 1-AGO is used to preprocess image data. To improve the performance of GPIs further, an a filter is applied to smoothen the interpolated pixels. Examples are given to verify the proposed 1-D GPIs. Simulation results indicate that the 1-D GPIs have better performance than the 1-D Pis in terms of PSNR. Besides, the 1-D GPIs are compared with ll-known 2-D polynomial interpolators in image enlargement, i.e., the nearest-neighbor interpolator, the bilinear interpolator, and the bicubic interpolator. Interesting enough, the 1-D 2-order GPIs performs little better than the 2-D bicubic interpolator in PSNR on average, with equally ll visual quality."}]