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Does Perfect Histogram exist?
In first part of “Perfect Histogram”, I discussed what Histogram is, its crucial role in photography and what can be considered a Perfect Histogram.
The left side of Histogram is pure black and the right side is pure white. Other grey tones lie in between.
[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][vc_custom_heading text=”By understanding the Histogram you can take better High key photos” font_container=”tag:h1|font_size:35|text_align:left|color:%23ad1c00|line_height:1″ use_theme_fonts=”yes” css_animation=”bounceInRight”][vc_single_image image=”19544″ img_size=”600×400″ add_caption=”yes” alignment=”center” style=”vc_box_rounded” css_animation=”fadeIn” title=”Histogram and exposure”][vc_column_text]
By studying the histogram in this example I know the majority of the pixels are used for the highlighted area with a few in dark grey and black, which can result in overexposure like the image below.
[/vc_column_text][vc_single_image image=”19545″ img_size=”600×400″ add_caption=”yes” alignment=”center” style=”vc_box_rounded” onclick=”link_image” css_animation=”fadeInUpBig” title=”Overexposed picture”][vc_column_text]
Or it can also be a High key image like this one.
[/vc_column_text][vc_single_image image=”19546″ img_size=”600×400″ add_caption=”yes” alignment=”center” style=”vc_box_rounded” onclick=”link_image” css_animation=”fadeInUpBig” title=”High Key Photo”][vc_column_text]
There is no such thing as a perfect histogram, or we can claim that all histograms are perfect. You will learn more about this towards the end of this article! The key is comparing the histogram with the scene to find out if your main subject is within the range of the histogram. For instance try to understand how this Histogram would look as a photographic scene.
[/vc_column_text][vc_single_image image=”19547″ img_size=”600×400″ add_caption=”yes” alignment=”center” style=”vc_box_rounded” onclick=”link_image” css_animation=”fadeInUpBig” title=”Low Key Histogram”][vc_custom_heading text=”Histogram shows that the majority of pixels are in dark grey tones. ” font_container=”tag:h1|font_size:35|text_align:left|color:%23ad1c00|line_height:1″ use_theme_fonts=”yes” css_animation=”bounceInRight”][vc_column_text]
It can be an underexposed photo like this
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Or it can be a Low key image like this one
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Next take another look at the image and compare it with the Histogram. Although majority of pixels are in dark grey tones, the histogram tells you it is a correct exposure for your main subject.
[/vc_column_text][vc_custom_heading text=”Histogram and underexposed vs overexposed photo
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In this image the majority of pixels are in dark grey tones, whereas the main subject should have been within a range of grey tones. Although this histogram seems very similar to the previous one, when you compare it with the scene you notice a well exposed image for the main subject. The histogram tells you that the majority of pixels are black or dark grey. And you have enough grey tone for the main subject.
[/vc_column_text][vc_single_image image=”19550″ img_size=”600×400″ add_caption=”yes” alignment=”center” style=”vc_box_rounded” onclick=”link_image” css_animation=”fadeInUpBig” title=”Low Key picture”][/vc_column][/vc_row][vc_row][vc_column][vc_custom_heading text=”A Perfect Histogram shows how your camera captured the scene” font_container=”tag:h1|font_size:35|text_align:left|color:%23ad1c00|line_height:1″ use_theme_fonts=”yes” css_animation=”bounceInRight”][vc_column_text]
Understanding histogram is not difficult. It just takes practice to become familiar with the information it provides. In our upcoming Digital Camera Workshop for Beginners on September 27th, I will cover the Histogram in depth with more tips to be put into action in order to learn one of the most powerful tools in digital photography. Understanding histogram is like finding a best friend inside your digital camera, a friend that gives you instant and accurate feedbacks every single time! Now you know that a Perfect Histogram exists when you can understand its data.
Ted and the Omnilargess Team
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