Depth Map Reconstruction Using Wavelet Analysis

A method for depth estimation in a 2D image using wavelet analysis has been implemented with less computation that converts two-dimensional images of limited depth of field (DOF) into depth estimation for 3D image construction. Each image is first transformed to YUV domain and the Y component of the image is further transformed to the wavelet domain for major object detection. According to our observation, the high-frequency wavelet subbands of the image represent the focused foreground. After the preliminary stage, smoothing, N-level scaling, and autocorrelation techniques are utilized to find the positions of the focused objects. The experimental result shows that the proposed approach is effective and efficient for depth map estimation.