Digital Image Processing Resume Sample

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Digital Image Processing involves engineers, architects or specialists who design and use a wide variety of computer algorithms and models to process digital images. These professionals perform data analysis, testing and troubleshooting functions to improve image quality, enhance important features as well as suppress unwanted distortions or noises. If you are looking for this job profile, you will need an impressive Digital Image Processing resume that highlights your skills and experience in the best way possible. The resume must showcase your effective communication, analytical, problem-solving, team-working, and organizational skills. Highlight your expertise in DSP and digital image processing techniques, image quality evaluation, system design, coding and algorithm development, validating image processing algorithms, technical documentation and reporting, data and signal analysis, troubleshooting image processing issues and image enhancements.

Sample Digital Image Processing Resume

Sarah D. Gregg
1051 Brooke Street
Houston, TX, 77025, USA
Phone No: 713-747-0981
Email: sarahDgregg@anymail.com

Career Summary:

Highly-dedicated, enthusiastic, and professional Digital Image Processing Engineer with more than 6 years of experience in designing and implementing computer algorithms or models for creating, displaying, and processing various digital images. Capable of analyzing signals and data, writing code, testing and resolving image processing issues as well as developing effective techniques to improve image quality. Possess excellent analytical, communication, problem-solving and team-working skills.

Summary of Skills:

Thorough knowledge of digital image processing principles, techniques and theories; data analysis and algorithm development, automation testing and validation, troubleshooting processing issues, technical documentation, and reporting
Clear understanding of digital image filtering and quality evaluation techniques, ISP and visualization, machine learning, system designing and integration, signal analysis and processing, image enhancement or manipulation, image segmentation and morphological image processing
Experience with programming languages such as C, C++, Java, Matlab and Python, computer vision and image processing frameworks and libraries such as OpenCV, CUDA API, Linux and Windows OS
Good numerical skills and familiar with machine learning techniques as well as efficient storage, compression and transmission of images
Effective communication and presentation skills along with the ability to work well independently as well as within team environment
Strong analytical and problem-solving skills along with the ability to cope with fast-paced and challenging environment
Solid organizational skills and the ability to handle multiple tasks simultaneously

Work Experience
Digital Image Processing Engineer
USC Solutions, Houston, TX
February 2018 - Present

Gathering and analyzing business requirements as well as developing cross-platform and efficient algorithms, service tools, models and related solutions for signal and digital image processing
Collaborating with design and technical teams in mapping machine learning, computer vision and image processing algorithms into well-defined architectures as well as implementing them in different software and hardware as required
Performing routine maintenance on various computer and digitization equipment as well as researching, assessing and recommending specialized equipment purchases and hardware installations and modifications as needed
Collaborating with cross-functional teams in designing and developing innovative and effective digital image processing techniques for optimal performance and efficiency as well as interpreting, disseminating and documenting internal operating policies and procedures as required
Working with QA personnel in executing automation tests for image processing algorithms and supporting software or applications before deployment as required as well as utilizing various design techniques, tools and principles to write technical reports and prepare user manuals for the products developed

Digital Image Processing Engineer
Radiant Systems Inc., Houston, TX
April 2016 - January 2018

Researched and developed advanced computer algorithms to create, display and improve quality and clarity of digital images as required as well as analyzed, tested and verified real site data and developed effective methods for feature extraction and classification
Created visual representations of data and methods and used variety of image processing algorithms to convert signals from image sensors into digital images as needed as well as compressed images for communication across networks
Participated in requirement analysis and researched, designed, developed and verified signal and image collection systems as well as created test cases for image processing and related hardware or software validation as required
Developed and enhanced image processing techniques or methods for advanced systems as per user and business requirements in a real-time operating environment as well as optimized related algorithms for mobile platforms by using dedicated hardware and SIMD processors
Utilized various tools to support image quality assessments throughout all phases of system development as required as well as led and participated enterprise efforts to resolve image processing and quality anomalies and discrepancies.

Digital Image Processing Engineer
Rincon Systems, Houston, TX
December 2013 - March 2016

Performed image processing functions for various digitization projects that included developing Python, C++, Matlab and Java code as well as creating wide range of software algorithms to improve image data or features and avoid signal distortion or unwanted noise
Measured performance against requirements using standard digital image processing techniques and tools as well as identified system impacts and recommended necessary changes in image processing algorithms as needed
Performed analysis, modeling and simulation of imaging systems as well as defined and documented system architectures and design specifications for new imaging features as required
Optimized signal and image processing algorithms for implementation on various platforms and devices as well as worked collaboratively in designing and implementing machine learning techniques or algorithms as required
Provided guidance to junior engineers regarding image compression, image enhancement, image restoration, image manipulation and image segmentation

Education and Training:

Digital Image Processing Course
2013

Bachelor's Degree in Computer Science
Rice University, Houston, TX, USA
2012

Reference:
On Request.

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