The filling in of missing region in an image is known as image inpainting. Image inpainting or completion is a technique to restore a damaged image. Now a days various techniques have been proposed. Wavelet transform is used for various image analysis problems due to its nice multi-resolution properties and decoupling characteristics. This paper proposed to utilize the advantages of wavelet transforms for image inpainting. The proposed approach will implement Daubechies wavelets with different basis functions for image inpainting process. The experiments show that our methodology is fast and effective and the proposed algorithm is able to handle various applications, such as image restoration, object removal and image denoising.