Image stitching is a technique used to combine multiple images into a single seamless image. It is commonly used to create panoramic images or to merge images taken from different perspectives. The process of image stitching involves several steps:

  1. Image alignment: The first step is to align the images correctly. This is important because the images may have been taken from slightly different angles or positions. The alignment process involves finding matching features in the images and then transforming and warping them to align with each other.

  2. Feature extraction: In order to find matching features, a technique called feature extraction is used. This involves identifying distinctive points in each image, such as corners or edges. These features act as reference points for aligning the images.

  3. Image warping: Once the matching features are identified, the images are transformed and warped to align with each other. This involves applying mathematical transformations, such as translation, rotation, and scaling, to the images.

  4. Blending: After the images are aligned, the next step is to blend them together to create a seamless transition between the overlapping regions. This involves blending the pixel values of the overlapping regions in a way that reduces visible seams or discrepancies.

  5. Color and exposure correction: Finally, color and exposure corrections may be applied to the stitched image to ensure uniformity and consistency across the entire image. This involves adjusting the color balance, brightness, contrast, and other image parameters.

  Overall, image stitching is a complex process that involves finding matching features, aligning the images, warping them, blending the overlapping regions, and applying color and exposure corrections. The goal is to create a visually appealing and seamless final image that combines the information from multiple input images.