Short-wave infrared(SWIR) gas imaging technology is affected by factors such as detector fabrication processes and readout noise, which result in non-uniformity and large clusters of blind pixels in infrared images. These issues degrade the imaging quality, leading to errors in gas contour extraction. To overcome the aforementioned limitations, a CO2 imaging system based on a quantum dot short-wave infrared focal plane detector was developed. The system, integrated with a supercontinuum laser and monochromator, generates short-wave infrared laser wavelengths at 1 200 nm and 1 578 nm. This configuration facilitates gas absorption spectral imaging using tunable diode laser absorption spectroscopy. Correlated double sampling technology was employed to remove reset and low-frequency noise from the detector. A differential two-point correction algorithm was used to reduce image non-uniformity to 4.91%. Additionally, a spatial compensation-based correlated pixel compensation algorithm was implemented to effectively eliminate both clustered and isolated blind pixels, achieving a blind pixel rate of 0.006%. Finally, background subtraction was applied to extract the gas plume contours. Experimental demonstrates that the system is capable of imaging and detecting 2% CO2 gas plumes at different flow rates within 1 s.