A Novel Image Inpainting Technique Based on Isotropic Diffusion

Abstract

Using the isotropic diffusion model as a foundation, a novel method for image inpainting was suggested. To restore various missing areas of diverse natural images, a modified version of the original isotropic model is used. When employing the original isotropic model, the results of the suggested technique are compared to those obtained results. Regarding building texture in the missing area and restoring significant missing sections, the results of the suggested model performed better than the results of the obtained isotropic model. The performance of the suggested model in comparison to the original isotropic model is examined using a number of picture quality measures, including MSE, PSNR, and SSIM. In comparison to the widely used isotropic model, the improved model performs better and provides better measures of quality assessment for a greater number of natural photos.

On Geometry of Locally Conformal C_12-Manifolds

“…Moreover, among the trials carried out were the selection of 10 distinct color stripes images from [17]. A comparison is made between the outcomes of the suggested method and the original isotropic method [6]. Moreover, virtual masks are utilized to create gaps in the image in order to assess the capability and efficacy of the proposed model through filling in the gaps.…”

“…Selected a different value of α and β were studied. Which included fractional values such as 0.2, 0.8, 0.5, 0.75, 0.25 under the condition of 𝛼, 𝛽 ∈ (0, 1); 𝛼 + 𝛽 ≤ 1 [6]. And studied the effect of the coefficient sign (negative or positive) on the results of filling in the missing space.…”

“…In order to complete the modified isotropic model (1) [6], the first derivative of the image's missing region is included. The capability of the first derivative to extend the isophote line and construct edges contributes to the improvement of the recovery of sections that need to be recovered.…”

Study the Effect of Texture Extending Direction in Inpainting Missing Areas of Digital Images Using Modified Isotropic Model

“…The isotropic diffusion model is modified by adding more than one algebraic expression to reduce the blur of the large missing area and enhance the edge of restoration. Modified isotropic model is modified by adding the first derivative of the missing area of the image [23]. The ability of the first derivative helps to build the edges and extend the isophote line, which improves recovering missing areas.…”