vivo影像效果专家
社招全职5年以上研发类地点:杭州状态:招聘
任职要求
1、教育背景:本科及以上学历,计算机科学、电子工程、光学工程、图像处理等相关专业; 2、专业技能 (1)技术基础: 熟悉图像处理算法(如3A、降噪、锐化、色彩校正)及ISP处理流程,精通图像质量评价体系(如CPIQ、DxOMark方法论); 掌握常用调试、测试工具(如Imatest、Gamma Tuning Tools、Syndrome),能独立完成ISP参数调试及画质调优; 熟悉摄像头模组硬件原理(Sensor特性、镜头光学参数、OIS校准等)。 (2)编程能力: 熟练使用Python/C/C++进行数据分析或算法验证,具备MATLAB/OpenCV等工具开发经验者优先。 3、经验要求:3年以上手机影像调试经验,主导过至少两款旗舰机型影像效果开发项目,熟悉高通/联发科/自研ISP平台; 4、软性素质:具备强烈的用户导向思维,能通过数据分析和用户反馈优化调试策略;优秀的跨部门沟通能力,能高效协调硬件、算法、测试团队达成目标。 加分项: 1、3A算法,降噪&亮度&色彩等图像画质增强算法开发经验优先; 2、AI图像画质增强算法经验优先; 3、有摄像头模组厂(如舜宇、欧菲光)或终端厂商核心影像团队背景者优先。
工作职责
1、负责摄像头模组特性,完成图像效果参数调优,确保色彩还原、降噪、锐化、动态范围等核心指标达到产品定义要求; 2、针对不同场景(如人像、逆光、夜景等)进行画质调试,优化HDR、多帧合成、AI场景识别等功能的实际表现; 3、熟悉图像质量体系(客观测试+主观评价),分析测试数据(如MTF、SNR、色彩误差等),定位画质问题并提出解决方案; 4、跟踪行业技术趋势(如计算摄影、AI影像算法、多摄融合技术),参与新硬件平台(如Sensor、ISP芯片)的技术预研和效果调优,推动技术方案落地量产; 5、结合用户使用习惯,优化拍摄流程的体验流畅度(如对焦速度、预览帧率),提升极端场景(高动态、低照度)下的成像稳定性。
包括英文材料
学历+
图像处理+
https://opencv.org/blog/computer-vision-and-image-processing/
This fascinating journey involves two key fields: Computer Vision and Image Processing.
https://www.geeksforgeeks.org/python/image-processing-in-python/
Image processing involves analyzing and modifying digital images using computer algorithms.
https://www.youtube.com/watch?v=kSqxn6zGE0c
In this Introduction to Image Processing with Python, kaggle grandmaster Rob Mulla shows how to work with image data in python!
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
Image Signal Processor+
https://github.com/mikeroyal/ISP-Guide
Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
MATLAB+
https://matlabacademy.mathworks.com/?page=1&sort=featured
Learn MATLAB and Simulink through interactive, in-product exercises
https://www.mathworks.com/help/matlab/getting-started-with-matlab.html
Millions of engineers and scientists worldwide use MATLAB® to analyze and design the systems and products transforming our world.
https://www.youtube.com/watch?v=7f50sQYjNRA
Learn the fundametnals of MATLAB in this tutorial for engineers, scientists, and students.
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
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