Memory-Driven Wavelet Network for lightweight infrared image super-resolution

Key Points

• Enhanced image clarity was achieved through a wavelet network tailored for infrared images, improving resolution.
• The method utilizes memory-driven techniques, leading to efficient processing of infrared imagery without substantial resource demands.
• Performance metrics reveal substantial improvements in image quality, specifically in preserving details under low-light conditions.
• This framework emphasizes lightweight processing, indicating potential applications in mobile imaging technologies and real-time systems.