Image Inpainting Method with Improved Patch Priority and Patch Selection
Bitra Janardhana Rao, Y. Chakrapani, S. Srinivas Kumar · IETE Journal of Education · 2018
The image inpainting quality depends on the method of patch priority calculation and best matching patch selection method. Image inpainting can be applied in repairing the damaged images and removing the unwanted objects in the images. With reference to all the existing methods of image inpainting, the patch priority calculation and best matching patch selection play a major role in getting good results. In this paper, an improved patch priority calculation method is proposed by introducing regularization factor and adaptive coefficients. The best matching patch selection is determined using two patch searching methods such as the sum of squared error (SSE) and the sum of absolute difference (SAD) distance methods. The best combination is identified with respect to and adaptive coefficients values for highest patch priority calculation. This best combination is used along with SSE and SAD patch selection method for repairing the damaged images and removing of the object in images. The results from the proposed inpainting method are compared with the existing inpainting methods. The metrics of proposed inpainting, such as peak signal to noise ratio, mean square error and time elapsed for different images are obtained and compared. The results for the several images obtained from the proposed inpainting method using MATLAB are presented in this paper to observe the quality of the images.