Image De-Blurring Using the Least Square Filter Technique in A Neural Network
Abbas Akram Khorsheed, Muna Abdul Hussain Radhi · Journal of Southwest Jiaotong University · 2020
Image restoration is one of the digital image processing techniques used to repaint or restore image information. One common problem encountered during restoration is image blurring. To solve this problem, a new de-blurring technique was proposed to reduce or remove image blurring. The proposed filter was designed using the least square interpolation calculation controlled by the neural network to select the blurred pixels. The wavelet decomposition technique was used to improve the performance of the proposed filter, which showed good results for fully and partially blurred regions in images.