Converting 2D Images to Red-Blue 3D Effects with Depth Mapping Algorithm

This program converts 2D images into red-blue 3D anaglyphs through a custom implementation of the depth mapping algorithm proposed in the paper "A novel 2D-to-3D conversion technique based on relative height depth cue" by Yong Ju Jung et al. The core algorithm operates by analyzing relative height cues within the image to estimate depth information, where objects positioned higher in the image plane are assigned greater perceived depth. The implementation involves three key computational stages: depth map generation through vertical position analysis, color channel separation for stereoscopic effect creation, and anaglyph synthesis using red-cyan filtering. In the code implementation, the depth mapping function calculates pixel-wise displacement based on vertical coordinates, with higher pixels undergoing greater horizontal shift to simulate binocular disparity. The left-eye view is generated by shifting red channel components rightward proportionally to depth values, while the right-eye view maintains the original cyan (blue+green) channels. Final anaglyph construction merges these channels using matrix operations for efficient pixel-level processing. This technique significantly enhances image stereoscopy and visual impact, delivering more realistic and immersive viewing experiences through computational photography methods.