PhotoTechEDU Day 31 - Color Balance: Babies, Rugs & Sunsets

Google Tech Talks December, 12 2007 Achieving pleasing color balance is one of the most important and difficult problems in photographic systems; if the color balance is off, other image quality attributes drop in important and the result is unacceptable. In this talk I will discuss the differences between color balance and white balance for both photographic and machine vision applications and I will outline the literature of the subject. I will explain some of the more basic and some of the more advanced methods and relate these to complexity and system calibration issues. I will give several examples that show how some methods can fail and why some images can be extremely difficult. I will touch on the relationship between color balance and color perception and how this differentiates photographic systems from machine vision systems. The goal of PhotoTechEDU is to have a Photographic Technology short course at Google. The course will teach Google engineers: useful properties of light and image formation theory and techniques of photographic optics and image capture theory of colorimetry and techniques of color reproduction where and how photography is being used in Google products and projects what tools exist inside Google for photographic image storage, processing, etc. and lots more... The course will be serialized, meeting once a week for one hour, for at least 12 weeks, with probable extension as topics of interest are identified. Homework problems and projects ...



http://www.youtube.com/watch?v=NWVDwpCYg3A&hl=en

PhotoTechEDU Day 31 - Color Balance: Babies, Rugs & Sunsets

Google Tech Talks December 12, 2007 to achieve a good balance of color is one of the most important and difficult in photographic systems, where the color balance is off, the picture quality of other attributes important to decrease and the result is acceptable. In this talk I will discuss the differences between the color balance and white balance for pictures and application of computer vision, and I will describe the literature. I'll explain some of the basics and some ofAdvanced methods and relate to the complexity and calibration of system problems. I give some examples, some methods may fail and why some images can be very difficult. I will focus on the relationship between the color balance and color perception and how the various systems for machine vision cameras to play. The goal is to have a photo and video PhotoTechEDU short course on Google technology. The course teaches engineers to Google: Useful propertiesThe light and image formation theory and techniques of photographic optics and the theory of imaging techniques in colorimetry and color reproduction, where and how the photo on Google products and projects such instruments exist within the image storage photographic processing, used Google and many others. .. The course will be serialized meets once a week for an hour to be identified at least 12 weeks, with a likely extension topics of interest. problems with tasks and projects...



http://www.youtube.com/watch?v=NWVDwpCYg3A&hl=en