Learning Photo Compositing

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Free Online Course: Learning Photo Compositing provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Learning Photo Compositing is taught by Julieanne Kost.

Overview
  • Learn how to create new visual narratives with the power of photo compositing.

    By choosing elements that work together to form a cohesive message, Julieanne Kost is able to create a composite image that's more powerful than its individual parts. In this course, she shares the fundamental creative and technical concepts behind photo compositing, from creating diptychs that juxtapose images in separate "frames," to assembling multiple exposures and strengthening visual impact with textural information. With these simple yet powerful techniques, Julieanne shows how to pull together different imagery and create new, unified visual narratives.

Syllabus
  • Introduction

    • Welcome
    • Using the exercise files
    • What you should know before watching this course
    1. Diptychs: Realizing the Relationship between Images
    • Unifying images through subject and theme
    • Unifying images through composition
    • How to create a diptych in Lightroom
    • How to create a diptych in Photoshop
    2. Combining Photographs
    • Blending Photographs using opacity and blend modes
    • The advantages of using raw files in compositing
    • Applying multiple textures
    3. Selectively Blending One Image into Another
    • Blending images using layer masks and the Gradient tool
    • Blending night into day
    • Using adjustment layers to create unity between images
    • Painting in a layer mask
    • Selectively adding texture
    4. Putting It All Together
    • Choosing and combining images that work together
    • Combining the background images
    • Adding the rocks
    • Adding the boat
    • Unifying using color and texture
    Conclusion
    • Next steps