That mountain is not boring; your photo is. The sensor records geometry and light, but your brain runs a far more aggressive depth engine, built on binocular disparity, motion parallax and contextual inference from the surrounding scene. Two eyes compare tiny shifts, your head movement updates a live 3D model, and prior experience guesses scale from trees, haze and ridgelines. Strip those cues, as a flat sensor does, and peaks collapse into a grey cardboard cutout.
So a strong mountain image is less honest and more strategic. You must manufacture depth cues that the camera cannot see by itself, using composition rather than electronics. A bold foreground rock, flower patch or silhouetted ridge gives the visual cortex a starting ruler, exploiting size constancy and occlusion. A midground trail, river or valley line then acts like a perspective corridor, echoing the rules of projective geometry to drag the eye inward and upward toward the summit.
Most underrated is a disciplined horizon. A clean, level horizon line stabilizes the internal reference frame that the vestibular system expects, letting the viewer trust every other cue you smuggle in. Tilt it slightly and the scene feels cheap, like a phone snapshot; lock it, and the same light, the same mountain, suddenly reads as vast. You are not recording the peak. You are reverse‑engineering how the brain believes it.