Peachpit Press – Exposed
English | .MP4 | AAC LC, 2 channels, 48.0 KHz | AVC [email protected], 1280×720 pixels, 25.000 fps @ 1194 Kbps | 824.14MBGenre: E-learning
Photographer Michael Clark provides an inside look at the reality of working in extreme conditions to capture and process his breath-taking images. He offers start-to-finish details of some of his most demanding assignments—rock climbing, big wave surfing, sky diving, and mountain biking—and shares his post-processing techniques in Adobe Photoshop Lightroom 4 and Adobe Photoshop CS6 for 16 images. These images are featured in his book Exposed: Inside the Life and Images of a Pro Photographer. These are companion videos to the book. He also includes a how-to primer video on both software programs and advice on color management for intermediate and advanced photographers. Running time: 149 minutes. Michael Clark is an internationally published photographer specializing in adventure sports, travel, and landscape photography. He produces intense, raw images of rock climbers, mountaineers, kayakers, surfers, and mountain bikers pushing their abilities to the limit in remote locations around the world. He uses unique angles, bold colors, and dramatic lighting to capture fleeting moments of passion and bravado in the outdoors. Balancing extreme action with subtle details, striking portraits and wild landscapes, Michael creates images for the editorial, advertising, and stock photography markets worldwide. His clients include Apple, Nike, Nikon, Red Bull, and Adobe.
Password:www.0daydown.com
Download Firedrive and 百度云
转载请注明:0daytown » Peachpit Press – Exposed
与本文相关的文章
- Python 3 OOP: Master Python Object Oriented Programming
- Python for VLSI Engineer P2 : Understanding COCOTB
- Building Powerful AI Marketing Automation with OpenAI API
- Backend Systems Design
- AUTOSAR Application Software Layer Course (ASWL) | english
- Ultimate Lighting Course – In-Depth Tutorial
- Flutterflow: Le cours complet – Le no code iOS & Android
- Support Vector Machines in Python: SVM Concepts & Code
- Logistic Regression in Python
- RESTful API with Angular & Django: Learn CRUD & AUTH
- Machine Learning Primer with JS: Regression (Math + Code)
- Create Desktop Game For Beginner with Unity Engine & C#