Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Camera Image Quality and Camera ISP Tuning concepts
Rating: 3.4 out of 5(19 ratings)
65 students

Camera Image Quality and Camera ISP Tuning concepts

You will learn about camera image processing and ISP tuning concepts with Image Quality factors
Created byAmit Kumar Rai
Last updated 10/2022
English

What you'll learn

  • How to check quality of an image
  • Different way to make good photograph
  • Settings in camera which can give you amazing pictures
  • Methods of Image Quality analysis
  • Factors which effects exposure in camera
  • What is High dynamic range
  • Methods of analyzing an image and video quality
  • Camera ISP tuning concepts
  • Image processing concepts
  • Different IQ attribute
  • What is contrast and its effect on image
  • Color reproducibility in an image
  • Distortion due to lens
  • Auto white balance concetps
  • Lens shading correction
  • Sharpness and its effect on image
  • Types of Noise signal
  • Chromatic aberration
  • Aliasing or color Moire
  • Lens Flare and its impacts on an picture
  • Video Quality attribute - EIS and OIS

Course content

4 sections17 lectures51m total length
  • Introduction1:41

    It's an introduction video which describes the agenda for this course.

Requirements

  • Basic Computer Knowledge
  • No Programming
  • Passion to photography
  • Any mobile phone to try out camera settings

Description

Taught by an expert in Camera domain

With more than 10 years of experience in Image processing and Camera ISP tuning.

I truly know how to teach, how to educate, and how to make you understand the meaning of his courses.

This course on Image Quality concepts is designed to provide a comprehensive understanding of the principles and techniques used to evaluate and improve the quality of digital images. The course will cover a wide range of topics including image resolution, color accuracy, noise, contrast, sharpness, and more.

Throughout the course, students will learn about the various factors that affect image quality and how they can be optimized to achieve the best possible results. The course will also cover the various image processing techniques used to improve image quality, such as Auto white balance, noise reduction, and color correction.

The course will also provide hands-on experience through practical exercises and projects that will allow students to apply the concepts they have learned.

By the end of the course, students will have a solid understanding of the principles and techniques used to evaluate and improve image quality, and will be able to apply this knowledge to their own projects and work. This course is ideal for photographers, graphic designers, and anyone interested in digital imaging and image processing.


** Different Image quality terminology**


  • Contrast

  • Color

  • Lens Distortion

  • Automatic while balance

  • Lens shading

  • Sharpness

  • Noise

  • Chromatic aberration

  • Aliasing or color moire effect

  • Purple fringing

  • Lens flare

  • some on video quality attributes such as EIS and OIS.

  • Last but not the least, you will get to know dependency of these image quality factors on hardware parts such as Lens and sensor


Who this course is for:

  • Beginners who wants to learn about imaging and build their career into photography.
  • Engineers who would like to make their career in camera software field
  • Software engineers who wants to work in Camera ISP tuning domain