This project explores GPU-based optimization techniques for image gamma correction. It compares multiple implementation strategies, including embarrassingly parallel execution, fixed-size kernels, and loop unrolling, to evaluate how different optimization choices affect performance.
- C
- GPU programming
- Parallel computing
- Image processing
- Performance optimization