Description: Bilinear interpolation is a method of interpolation that uses linear interpolation in two dimensions. This approach is commonly applied in image resizing, where the goal is to estimate the value of a pixel at a new location based on the values of neighboring pixels. Unlike simpler interpolation methods that consider only adjacent points in one dimension, bilinear interpolation takes into account four pixels in a 2×2 grid, allowing for a more accurate and smooth estimation of pixel values. This method is particularly useful in image processing and computer graphics applications, where visual quality is crucial. Bilinear interpolation is relatively fast and easy to implement, making it a popular choice in various programming libraries and frameworks. Its ability to smooth transitions between pixels makes it ideal for data preprocessing tasks in machine learning and computer vision, where image quality can significantly impact model performance.
