Motivation: My major focus is on Digital Image Processing (specifically segmentation). Due to external noise, the different parts of an image are not fully quantized. Therefore, various segmentation and quantification algorithm has emerged to tackle different types of problems.
For sound wave, there is a property known as 'timber' by which human ear can distinguish sounds (even if they have the same amplitude and frequency) coming from different sources.
Question: Can our eyes distinguish light rays coming from the objects (even if they have the same amplitude and frequency and hence the same pixel intensity when seen through a digital image) of different material?
In analogy to sound, is there any such property of light like timber for sound?
Updated Question (Based on the answers given):
Part1: Consider two real objects of same color and texture but of different materials. Light from a single source fall on those two objects (ignore the difference in distance traveled by the light) and reflected back to the eyes of a person. If the person has normal vision, will he be able to distinguish the objects(assume the person has no prior knowledge about the objects or materials)?
Part2: Consider the same case but now the light is not coming directly from the real objects,rather it is coming from a single digital image of the two objects. Will the same person be able to distinguish the objects now?