Image Processing Technology Photoshop Classic Experiment Tutorial (with CD-ROM)

Author: Chen Sanming
Publisher:
Publishing Time: Not available
Features: The book embodies a new teaching method and approach, complemented by the award-winning multimedia courseware developed by me, leveraging the advantages of a three-dimensional textbook. Through computer-based experiments, the application technology of PHOTOSHOP image processing is perfectly implemented using the "goal-driven, reverse teaching" method. Years of frontline teaching practice have proven that this method is indeed effective. The book is divided into fourteen chapters:
1. Experiment Introduction, explaining why the experiment is conducted and how it is designed.
2. Experiment Objectives, outlining the key technical points to be mastered.
3. Experiment Steps, providing step-by-step tutorials to guide you in creating the project.
4. Key Points Summary, summarizing the knowledge points learned from the example, highlighting the key and challenging aspects.
5. Theory Corner, explaining the concepts involved in the example, covering relevant theories or common knowledge, and elaborating on abstract concepts in an accessible manner with multimedia courseware.
6. Exercises and Assignments, assigning post-class exercises, providing detailed step-by-step explanations for practice, enabling students to apply what they’ve learned to similar tasks, or adding a few extended exercises of the same type with comments, allowing students to learn a batch of examples from one.
7. A Story to Share, a story told after each class to enhance students' qualities and beyond technical skills.
At the back of the book and in the courseware, there are standard examination questions and reference answers, making it convenient for teachers to modify them into test papers. This book can serve as a textbook for universities, colleges, vocational colleges, and social training centers to teach "PHOTOSHOP Image Processing" application technology. It is also suitable for individuals seeking to improve their digital image technology through self-study.

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