摘要: Mid-wave infrared (MWIR) cameras for large number pixels are extremely
expensive compared with their counterparts in visible light, thus,
super-resolution imaging (SRI) for MWIR by increasing imaging pixels has always
been a research hotspot in recent years. Over the last decade, with the
extensively investigation of the compressed sensing (CS) method, focal plane
array (FPA) based compressive imaging in MWIR developed rapidly for SRI. This
paper presents a long-distance super-resolution FPA compressive imaging in MWIR
with improved calibration method and imaging effect. By the use of CS, we
measure and calculate the calibration matrix of optical system efficiently and
precisely, which improves the imaging contrast and signal-to-noise ratio(SNR)
compared with previous work. We also achieved the 4x4 times super-resolution
reconstruction of the long-distance objects which reaches the limit of the
system design in our experiment.