Reader small image

You're reading from  Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Product typeBook
Published inFeb 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781789531619
Edition3rd Edition
Languages
Tools
Right arrow
Authors (2):
Joseph Howse
Joseph Howse
author image
Joseph Howse

Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media Corporation, which exists to support his books and to provide mentoring and consulting services, with a specialty in computer vision. On average, in 2015-2022, Joseph has written 1.4 new books or new editions per year for Packt. He also writes fiction, including an upcoming novel about the lives of a group of young people in the last days of the Soviet Union.
Read more about Joseph Howse

Joe Minichino
Joe Minichino
author image
Joe Minichino

Joe Minichino is an R&D labs engineer at Teamwork. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experimenting with them. Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan's Università Statale), Joe has lived in Cork, Ireland, since 2004. There, he became a computer science graduate at the Cork Institute of Technology.
Read more about Joe Minichino

View More author details
Right arrow

Emulating photo films

A common use of curves is to emulate palettes that were common in pre-digital photography. Every type of photo film has its own unique rendition of color (or gray), but we can generalize some of the differences from digital sensors. Film tends to suffer a loss of detail and saturation in shadows, whereas digital tends to suffer these failings in highlights. Also, film tends to have uneven saturation across different parts of the spectrum, so each film has certain colors that pop or jump out.

Thus, when we think of good-looking film photos, we might think of scenes (or renditions) that are bright and that have certain dominant colors. At the other extreme, maybe we remember the murky look of an underexposed roll of film that couldn't be improved much by the efforts of the lab technician.

In this section, we are going to create four different film-like...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
Published in: Feb 2020Publisher: PacktISBN-13: 9781789531619

Authors (2)

author image
Joseph Howse

Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media Corporation, which exists to support his books and to provide mentoring and consulting services, with a specialty in computer vision. On average, in 2015-2022, Joseph has written 1.4 new books or new editions per year for Packt. He also writes fiction, including an upcoming novel about the lives of a group of young people in the last days of the Soviet Union.
Read more about Joseph Howse

author image
Joe Minichino

Joe Minichino is an R&D labs engineer at Teamwork. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experimenting with them. Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan's Università Statale), Joe has lived in Cork, Ireland, since 2004. There, he became a computer science graduate at the Cork Institute of Technology.
Read more about Joe Minichino