Wavelet Transform Image Stitching

This algorithm implements wavelet transform-based image stitching. The program utilizes wavelet transform principles to achieve seamless image alignment in vertical, horizontal, and diagonal directions. The algorithm performs wavelet decomposition on input images and leverages wavelet coefficient characteristics for precise image fusion, resulting in more accurate and seamless stitching outcomes. Wavelet transform serves as a mathematical tool that decomposes signals or images into frequency components at different scales, making it particularly suitable for image stitching applications. By exploiting wavelet transform properties, the program effectively handles edge and detail information in images, achieving superior stitching quality. The implementation includes directional processing modules that simultaneously handle vertical, horizontal, and diagonal alignments, ensuring comprehensive and complete stitching results. Key functions involve multi-level wavelet decomposition, coefficient correlation analysis for alignment detection, and inverse wavelet transform for reconstructed image generation.