Discover why capturing photos in HDR mode is essential for retaining shadow and highlight details in high-contrast 1080p photography, ensuring superior dynamic range and image quality.
Table of Contents
Question
You took a 1080p resolution picture with your camera and saved it as a 16-bit PNG image. However, you notice that fine details are lost in the shadows and highlights of the final rendered image, and increasing the brightness only worsens the quality. What step could you have taken to prevent this issue?
A. Take the picture with an Exposure Value (EV) of -4 or less.
B. Take the picture in a High Dynamic Range (HDR) mode.
C. Save the final rendered image in the JPEG format.
D. Decrease the image bit depth from 16-bit to 8-bit.
Answer
B. Take the picture in a High Dynamic Range (HDR) mode.
Explanation
When capturing a scene with a high contrast between bright highlights and dark shadows, a single exposure—even saved as a 16-bit PNG—might not capture the full range of details. This is because standard exposures are limited by the camera’s dynamic range, and simply increasing brightness later will worsen quality by amplifying noise and further degrading detail.
By using High Dynamic Range (HDR) mode, you capture multiple bracketed images at different exposure levels. This technique enables the merging of images so that the darkest areas and the brightest highlights retain their details, closely mimicking the human eye’s perception of light. HDR ensures that no part of the scene is underexposed or overexposed, effectively preventing the loss of fine details in both shadows and highlights.
Therefore, the optimal solution to avoid the issue described is:
B. Take the picture in a High Dynamic Range (HDR) mode.
This approach allows for a comprehensive capture of the scene’s full tonal range, resulting in a rendered image that maintains clarity and balance across all areas.
Computer Vision for Developers skill assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Computer Vision for Developers exam and earn Computer Vision for Developers certification.