Bicubic Downsampling

Bicubic downsampling is a common image processing technique that reduces image resolution, typically used as a preprocessing step in various applications like image super-resolution and compression. Current research focuses on improving the downsampling process itself, exploring alternative methods beyond simple bicubic interpolation to enhance shift invariance and preserve crucial image details, often incorporating learned downsampling kernels or novel architectures like polyphase sampling. These advancements aim to improve the efficiency and accuracy of downstream tasks, such as image classification, segmentation, and 3D mesh rendering, by mitigating information loss during downscaling.