A New Model for Image Inpainting for Different Color Spaces | ||
AL-Rafidain Journal of Computer Sciences and Mathematics | ||
Volume 17, Issue 2, December 2023, Pages 39-48 PDF (896.9 K) | ||
Document Type: Research Paper | ||
DOI: 10.33899/csmj.2023.181630 | ||
Authors | ||
zainab ali al-bataat* 1; Ahmed K. Al-Jaberi2 | ||
1Department of Mathematics/College of Science/University of Basrah | ||
2Department of Mathematics, College of Education for Pure Science, University of Basrah, Basrah, Iraq. | ||
Abstract | ||
The newly developed method of inpainting the missing region in digital images that is based on the isotropic model was applied to a variety of color spaces, including XYZ, YCbCr, NTSC, and HSV color spaces. Tests were performed using masks that the researcher had created based on the original (clear) images; these masks range in both size and shape. In order to evaluate the quality of image inpainting, statistical quality metrics such as MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio), and SSIM (Structural Similarity Index) are utilized. The performance of this method was superior to the state-of-the-art PDEs (partial differential equations) inpainting methods. | ||
Keywords | ||
image inpainting; isotropic equation; PDE-based inpainting method; color space | ||
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