Get HDR Image
|Type of digital support
||Bit depth per color channel
|| Bit depth per pixel
|| Maximum dynamic Range
|JPEG or 8-bit TIFF
||"Real" maximum limited by dynamic range of capturing device
|HDR image (e.g. Radiance RGBE format)
||"Real" maximum limited by the captured dynamic range
Why to use HDR Image
When you take a picture inside of a room, the bright windows always get dazzling white since the camera and display are simply incapable of displaying the luminosities in the real world. While HDR images captures wider color range, which helps photographers get better images, solving the over exposure and under exposure problem in photography, especially digital photography. For some users, they can save the 32 bit HDR as well and make some further editing.
Let's see the traditional troublesome way to solve the over/ under exposure problem first.
1. Shoot images to create a panorama
2. Take an extra image in the direction of the over exposure window at an appropriate EV which allows users to see the window through clearly.
3. Use Photoshop to take out the window area and make a mend in the panoramic image
got in 1st step. After all the heavy work, then you will get a panoramic image of good result. See below.
You have to spend hours for every panoramic image with the method above. While with HDR, you can get a good result image without troublesome work. Panoweaver
8 automatically makes an HDR image, which stores wider luminosity range than that can be displayed. You can simply adjust on the HDR image in the software and get a perfect image quickly. Below is an image converted directly from HDR without any other editing work. Please refer to How to Get HDR Image for details of generating HDR with Panoweaver 7.00.
How to get HDR panoramic image with Panoweaver 8 ?
There are two methods. One is to import Camera Raw file and to stitch it into 16 bit panoramic image. The other is to get HDR image from bracket exposure, that is, to shoot several groups of images of the same object with different exposure value, batch stitch them and then combine them to get HDR image.