The L in HSL stands for lightness, and is similar to the L in Lab which also stands for lightness. Lab is meant to better represent how humans perceive color, but it's not inherently better for removing ambient lighting compared to HSL. The main difference between HSL and Lab is how good they are at distinguishing specific colors, and Lab tends to work better for things regarding human perception. I've always had better luck with HSL than Lab, but I tend to just try every color space when approaching a new problem.
Also, removing glare and other lighting abnormalities is one of the banes of computer vision. To the best of my knowledge, nobody has figured out a good way to do it yet (although I've seen some promising work on dealing with occlusion, which you could use to overcome moderate glare with proper segmentation).
Also, removing glare and other lighting abnormalities is one of the banes of computer vision. To the best of my knowledge, nobody has figured out a good way to do it yet (although I've seen some promising work on dealing with occlusion, which you could use to overcome moderate glare with proper segmentation).