Batch Image Downsampling: Converting Multiple Images to Low-Resolution Versions

MATLAB implementation for batch downsampling of multiple images to generate low-resolution versions using pixel reduction algorithms and interpolation techniques.

Super-Resolution

The effectiveness of super-resolution (SR) techniques relies on leveraging slightly different perspectives across multiple low-resolution images containing the same object. This process aggregates complementary information to exceed the data available in any single frame. Optimal performance is achieved when objects exhibit motion in video sequences, enabling motion detection and tracking to multiply benefits through sub-pixel alignment and temporal fusion. If objects remain static across frames, no additional information can be extracted. However, rapid motion or transformation creates distinct appearances across frames, which can be exploited through registration algorithms and motion compensation techniques to reconstruct high-resolution details.