I think image (d) is really cool! The camera sensor records the radiance for each pixel or location in the image, which can be used to produce the "heatmap" (radiancemap?) that we see in (d). I wonder if this image was created in post (by examining the image and mapping the light intensity to heat values), or if this is actually information we can extract from camera sensors directly
jayc809
I believe that image d represents the different dynamic ranges / exposure settings for each section of the image. Since we know that HDR essentially means to take multiple photos at different ranges and combine them to span a greater range than what the camera would've been capable of, I think the heatmap simply represents which range (or which photo) was used for each pixel of the final HDR image.
buggy213
it is created as a post-processing effect. the idea is that you have to solve a least-squares system in order to invert the camera's system response curve by using all of the different images together
GarciaEricS
It's interesting the intersection between technology and how consumers view that technology. For example, until now, I did not know what HDR actually was (let alone what it stands), I just knew that it's something that makes our photos look nicer. Marketing has a huge effect in this, as companies advertising their HDR cameras is the only reason I even know it's desirable. It goes to show that even if you have incredible technology, you need to get the word out there for people to actually use and adopt it, or else it could overtaken by something that's not as good technology wise but had better marketing.
stephanie-fu
Were any algorithms for cominbing these images based on psychophysics experiments? If not, were they ever validated after-the-fact for what types of image merging was preference human perception-wise?
508312
Its very interesting that we can put detail in both well lit and dimly lit enviroments, i wonder how humans see the scenes? Does amount of detail visible by human depend on where the eye is looking at? We have to adapt to low level lighting conditions for some time after all
I think image (d) is really cool! The camera sensor records the radiance for each pixel or location in the image, which can be used to produce the "heatmap" (radiancemap?) that we see in (d). I wonder if this image was created in post (by examining the image and mapping the light intensity to heat values), or if this is actually information we can extract from camera sensors directly
I believe that image d represents the different dynamic ranges / exposure settings for each section of the image. Since we know that HDR essentially means to take multiple photos at different ranges and combine them to span a greater range than what the camera would've been capable of, I think the heatmap simply represents which range (or which photo) was used for each pixel of the final HDR image.
it is created as a post-processing effect. the idea is that you have to solve a least-squares system in order to invert the camera's system response curve by using all of the different images together
It's interesting the intersection between technology and how consumers view that technology. For example, until now, I did not know what HDR actually was (let alone what it stands), I just knew that it's something that makes our photos look nicer. Marketing has a huge effect in this, as companies advertising their HDR cameras is the only reason I even know it's desirable. It goes to show that even if you have incredible technology, you need to get the word out there for people to actually use and adopt it, or else it could overtaken by something that's not as good technology wise but had better marketing.
Were any algorithms for cominbing these images based on psychophysics experiments? If not, were they ever validated after-the-fact for what types of image merging was preference human perception-wise?
Its very interesting that we can put detail in both well lit and dimly lit enviroments, i wonder how humans see the scenes? Does amount of detail visible by human depend on where the eye is looking at? We have to adapt to low level lighting conditions for some time after all