Abstract
A printing image restoration method for multiple degradation factors which includes Salt & Pepper noise, Gaussian noise and blur is proposed in this paper. First, considering the noise density of printing image is not very high, a two-step algorithm based on gray-scale range criterion and local difference criterion are used for detecting and removing Salt & Pepper noise. The test results show that the proposed algorithm can achieve good results for restoration of most test images. For the purpose of removing Gaussian noise and image blurring, considering the principle of the edge-reserving smoothing filter, the bilateral filter and guided filter are applied to the image restoration, and on this basis, the second-time guided filter for detail-enhancement is designed and applied. The superiority of the second-time guided filter is verified by evaluating the five image restoration approaches.
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Li, X., Zhang, Y., Zhu, M. (2019). A Printing Image Restoration Method for Multiple Degradation Factors. In: Zhao, P., Ouyang, Y., Xu, M., Yang, L., Ren, Y. (eds) Advances in Graphic Communication, Printing and Packaging. Lecture Notes in Electrical Engineering, vol 543. Springer, Singapore. https://doi.org/10.1007/978-981-13-3663-8_29
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DOI: https://doi.org/10.1007/978-981-13-3663-8_29
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