A multiwavelength Er:YAP laser pumped by MgO:PPLN locked at 1535 nm with etalon was reported. 170 mW of 1609 nm, 120 mW of 1623 nm output were achieved under total incident pump power of 7 W at 77 K. The slope efficiency were 5.5, 7.2% of the two wavelength.

A resonantly pumped Q-switched Er:YAG laser at 1645 nm was reported. 1 mJ of output pulse energy was achieved for Q-switched operation at 100 Hz repetition rate under total incident pump power of 4 W. An output peak power of 14 kW and pulse width of 60.6 ns were obtained.

Room temperature, multi-wavelength operation in 0.3% doped Er:YAG laser with double etalons pumped by a MgO:PPLN laser locked at 1532 nm was reported. Lasing occurred predominantly at 1645.1 nm and 1617.2 nm. 350 mW of 1645.1 nm, 160 mW of 1617.2 nm output were achieved under total incident pump power of 7 W.

Video super-resolution methods based on convolutional kernels or optical flow often face challenges such as limited utilization of multi-frame detail information or strong reliance on accurate optical flow estimation. To address these issues, this paper proposes a novel super-resolution reconstruction network named Dual Motion Compensation and Multi-scale Structure–Texture Prior (DCST-Net). Dual motion compensation performs direct and progressive motion mapping in parallel, effectively mitigating estimation bias in motion modeling. A multi-scale structure–texture prior is introduced to enhance high-frequency details through feature fusion, alleviating over-smoothing caused by warping and fusion processes. The proposed DCST-Net method is validated on datasets containing both large and small targets, demonstrating its effectiveness and robustness.