master thesis on digital image processing

Imaging Science Master of Science Degree

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RIT’s master’s in imaging science can further your understanding of the development and implementation of imaging systems–knowledge that can be applied to a variety of areas, including remote sensing, environmental science, and more.

Online Option Available

Co-op/Internship Encouraged

STEM-OPT Visa Eligible

Outcomes Rate of RIT Graduates from this degree

Merit scholarship

Overview for Imaging Science MS

As digital image use continues to expand there is an increasing demand to fill dynamic imaging science careers. RIT’s imaging science MS provides the training and research opportunities needed to excel in industries like computer vision, astronomical imaging, satellite-based imaging systems and applications, virtual and augmented reality, and the use of UAVs (drones) in precision agriculture.

Master’s in Imaging Science at RIT: On-Campus or Online

Housed within the Chester F. Carlson Center for Imaging Science , RIT’s master's in imaging science is geared toward advancing and broadening the skills of professionals working and researching in the many industries where various imaging modalities are used to research and solve problems in engineering and science. This emerging field integrates engineering, math, physics, computer science, and psychology to understand and develop imaging systems and technology.

Students choose two courses from a variety of tracks such as: digital image processing, computer vision, electro-optical imaging systems, remote sensing, color imaging, optics, hard copy materials and processes, and nanoimaging. Tracks may be created for students interested in pursuing additional fields of study. The degree can be completed on-campus or online, and on a full or part-time basis.

An Imaging Science Curriculum Packed with High-Demand Skills

The MS degree in Imaging Science curriculum emphasizes a systems approach to the study of imaging science. With a background in science or engineering, this degree will prepare you for positions in research, product development, and management in the imaging industry. The curriculum was developed in collaboration with industry partners to emphasize skills needed by their scientists, engineers, and managers. You may concentrate on one of several "system tracks," or customize your own track. You may choose to complete either a research thesis or a project and a paper in the non-thesis option. You may also perform your thesis research at your place of employment.

• Research:  Graduates apply their knowledge to research in areas of astronomy and space science, cultural artifact and document imaging, nanoimaging and materials, optics, remote sensing, and vision.
• Careers:  Graduates work in various research and applied roles like Imaging Scientist, Imaging Systems Scientist, Imaging Systems Engineer, and Systems Engineer.
• Systems:  Employers appreciate the ability of our graduates to apply the imaging chain towards a full systems perspective.
• Biomedical:  Graduates are well prepared to contribute to both research and applied work in biomedical systems.

Research Thesis Option:  The research thesis is based on experimental evidence obtained by the student in an appropriate field, as arranged between the student and their adviser. The minimum number of thesis credits required is four and may be fulfilled by experiments in the university’s laboratories. In some cases, the requirement may be fulfilled by work done in other laboratories or the student's place of employment, under the following conditions:

• The results must be fully publishable.
• The student’s advisor must be approved by the graduate program coordinator.
• The thesis must be based on independent, original work, as it would be if the work were done in the university’s laboratories.

Faculty within the Chester F. Carlson Center for Imaging Science supervise thesis research in areas of the physical properties of radiation-sensitive materials and processes, digital image processing, remote sensing, nanoimaging, electro-optical instrumentation, vision, computer vision, color imaging systems, and astronomical imaging. Interdisciplinary efforts are possible with the Kate Gleason College of Engineering and the College of Science .

Graduate Paper/Project Option:  Students with demonstrated practical or research experience, approved by the graduate program coordinator, may choose the graduate project option (3 credit hours). This option takes the form of a systems project course. The graduate paper is normally performed during the final semester of study. Both part- and full-time students may choose this option, with the approval of the graduate program coordinator.

Imaging Science Careers

Our imaging science graduates are in high demand across many government and industrial sectors including the mobile phone industry, consumer electronics, aerospace, precision agriculture and remote sensing, national defense, and a wide array of other application areas. Many of our students work in industry on internships during their graduate career at RIT, further expanding their education. Recent students have been hired as either interns or in permanent positions by companies such as Apple, Google, Motorola, Lockheed Martin, L3Harris, Corning, Los Alamos National Laboratory, MITRE Corporation, and many others.

Students are also interested in: Physics MS , Astrophysical Sciences and Technology MS , Imaging Science Ph.D.

Join us for Fall 2024

Many programs accept applications on a rolling, space-available basis.

Learn what you need to apply

30% Tuition Scholarship for NY Residents and Graduates

Now is the perfect time to earn your Master’s degree. If you’re a New York state resident with a bachelor’s degree or have/will graduate from a college or university in New York state, you are eligible to receive a 30% tuition scholarship.

Learn more about Master Up NY

Careers and Experiential Learning

Typical job titles.

Cooperative Education

What makes an RIT science and math education exceptional? It’s the ability to complete science and math co-ops and gain real-world experience that sets you apart. Co-ops in the College of Science include cooperative education and internship experiences in industry and health care settings, as well as research in an academic, industry, or national lab. These are not only possible at RIT, but are passionately encouraged.

What makes an RIT education exceptional? It’s the ability to complete relevant, hands-on career experience. At the graduate level, and paired with an advanced degree, cooperative education and internships give you the unparalleled credentials that truly set you apart. Learn more about graduate co-op and how it provides you with the career experience employers look for in their next top hires..

National Labs Career Events and Recruiting

The  Office of Career Services and Cooperative Education  offers National Labs and federally-funded Research Centers from all research areas and sponsoring agencies a  variety of options  to connect with and recruit students. Students connect with employer partners to gather information on their laboratories and explore co-op, internship, research, and full-time opportunities.  These  national labs  focus on scientific discovery, clean energy development, national security, technology advancements, and more. Recruiting events include our university-wide Fall Career Fair, on-campus and virtual interviews, information sessions, 1:1 networking with lab representatives, and a National Labs Resume Book available to all labs.

Featured Work

2018 Distinguished Alumni: Meet Steve Wear

Steve Wear '91 (imaging science)

Steve Wear was honored as Distinguished Alumnus during a ceremony within the College of Science. He is the co-founder and a member of the board of directors of Integrity Applications Inc. 

Featured Profiles

RIT Imaging Science: The Perfect Major for Expanding Your Career

Gustavo Rahmer ’10 (imaging science)

Ten years into his professional career, Gustavo Rahmer discovered the imaging science program at RIT and is now the Senior Instrumentation Engineer for the Giant Magellan Telescope.

Calibrating Apple Displays for Optimal Color Performance

Fu Jiang ’21 (color science)

While pursuing his MS in imaging science, Fu Jiang took a color science course which led to a Ph.D. in Color Science. Now he works at Apple ensuring displays have the best optical color performance.

Curriculum for 2023-2024 for Imaging Science MS

Current Students: See Curriculum Requirements

Imaging Science (thesis option), MS degree, typical course sequence

Imaging Science (project option), MS degree, typical course sequence

Note for online students

The frequency of required and elective course offerings in the online program will vary, semester by semester, and will not always match the information presented here. Online students are advised to seek guidance from the listed program contact when developing their individual program course schedule.

Admissions and Financial Aid

This program is available on-campus or online.

Full-time study is 9+ semester credit hours. Part-time study is 1‑8 semester credit hours. International students requiring a visa to study at the RIT Rochester campus must study full‑time.

Application Details

To be considered for admission to the Imaging Science MS program, candidates must fulfill the following requirements:

• Complete an online graduate application . 
• Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
• Hold a baccalaureate degree (or US equivalent) from an accredited university or college.
• A recommended minimum cumulative GPA of 3.0 (or equivalent).
• Submit a current resume or curriculum vitae.
• Submit a personal statement of educational objectives .
• Submit two letters of recommendation .
• Entrance exam requirements: GRE optional but recommended. No minimum score requirement.
• Writing samples are optional.
• Submit English language test scores (TOEFL, IELTS, PTE Academic), if required. Details are below.

English Language Test Scores

International applicants whose native language is not English must submit one of the following official English language test scores. Some international applicants may be considered for an English test requirement waiver .

International students below the minimum requirement may be considered for conditional admission. Each program requires balanced sub-scores when determining an applicant’s need for additional English language courses.

How to Apply   Start or Manage Your Application

Cost and Financial Aid

An RIT graduate degree is an investment with lifelong returns. Graduate tuition varies by degree, the number of credits taken per semester, and delivery method. View the general cost of attendance or estimate the cost of your graduate degree .

A combination of sources can help fund your graduate degree. Learn how to fund your degree

Additional Information

Prerequisites.

Applicants must have completed courses in mathematics (through calculus and including differential equations), and a full year of calculus-based physics (including modern physics). It is assumed that students can write a common computer program.

Online Degree Information

The online Imaging Science MS program is designed for part-time study and can be completed fully online. It is flexible for working professionals. Students typically say they spend between 10-12 hours per week on their classes and take one class per term. Most students finish in about 2.5 years but can be expedited if you study year-round and take more than one class each semester. For specific details about the delivery format and learning experience, contact the Program Contact listed on this page. RIT does not offer student visas for online study.

Online Tuition Eligibility The online Imaging Science MS is a designated online degree program that is billed at a 43% discount from our on-campus rate. View the current online tuition rate .

Online Study Restrictions for Some International Students

Certain countries are subject to comprehensive embargoes under US Export Controls, which prohibit virtually ALL exports, imports, and other transactions without a license or other US Government authorization. Learners from the Crimea region of the Ukraine, Cuba, Iran, North Korea, and Syria may not register for RIT online courses. Nor may individuals on the United States Treasury Department’s list of Specially Designated Nationals or the United States Commerce Department’s table of Deny Orders. By registering for RIT online courses, you represent and warrant that you are not located in, under the control of, or a national or resident of any such country or on any such list.

Anthony Vodacek

Carl Salvaggio

The College of Science consistently receives research grant awards from organizations that include the National Science Foundation , National Institutes of Health , and NASA , which provide you with unique opportunities to conduct cutting-edge research with faculty. The Chester F. Carlson Center for Imaging Science is a unique, interdisciplinary academic unit bringing together the fields of physics, mathematics, engineering, and computer science in the development of new imaging systems and their applications across a wide range of disciplines.

The Imaging Science graduate program has over 100 students doing research on topics such as:

• computer vision
• astronomical imaging
• satellite-based imaging systems and applications
• virtual and augmented reality
• the use of UAVs in precision agriculture

Students are supported by 18 core program faculty in the Center and another 15+ affiliated faculty members across RIT.

Faculty from the Center conduct research on a broad variety of topics including:

• cultural heritage imaging
• detectors and imaging systems
• human and computer vision
• remote sensing
• nanoimaging
• magnetic resonance
• optical imaging

Learn more by exploring the Carlson Center’s imaging science research areas .

Imaging Science Thesis Defense: Emergence of Preferential Flow Paths and Intermittent Dynamics in Emulsion Transport in Porous Media

Latest News

April 10, 2024

University researchers measure the sun during the eclipse to assess impact on solar arrays

The recent total solar eclipse over Rochester provided a once-in-a-lifetime opportunity on Earth for two faculty-researchers and their students to capture data about the effects of the sun’s energy during a total eclipse.

February 22, 2024

Cause of temporary AT&T service outage remains unclear   

WHEC-TV talks to Serena Flint, research engineer in the Chester F. Carlson Center for Imaging Science, about solar flares.

January 29, 2024

Centuries-old texts penned by early astronomers Copernicus and Sacrobosco find new home at RIT

The ancient astronomer Nicolaus Copernicus was the first scientist to document the theory that the sun is the center of the universe in his book, De Revolutionibus Orbium Coelestium (On the Revolutions of the Heavenly Spheres). That first edition book, along with a delicate manuscript from astronomer Johannes de Sacrobosco, that is contrary to Copernicus’ groundbreaking theory, has now found a permanent home at Rochester Institute of Technology.

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Digital Image Processing Thesis

Digital Image Processing is a technique to work on the set of pixels/bits in a digital image to produce the image in another useful format and it is shortly denoted as DIP. This manipulation of the image will bring a new dimension to the image. Most importantly, it has several unique characteristics that give tremendous creative topics. This page is about the new innovation Digital Image Processing Thesis ideas with important research areas!!!  

Characteristics of Digital Image Processing

• Minimize the complication in processing image
• Assure image quality through noise-free images
• Broadly integrated with other promising fields
• Provide better experience and visual interpretation
• Enhance the weakened or unclear image content
• Supports various open-source software (paid / free)

DIP approach analyzes the image from different angles to give the various perception of the image. Also, it is used to i mprove the quality of the image and extract the essential features of the image through well-defined procedures. Further, we have mentioned the merits of image processing for your knowledge.

Advantages of Digital Image Processing

• Rapid Image Acquisition, Retrieval, and Storage
• Eye Controlled Viewing (Zooming and Windowing)
• 3D Image Reformatting (Multi-view and Multi-plane)
• Quick Image Distribution without compromising quality
• Hybrid Image Reconstruction (CT, PET, MRI, SPECT, PET/CT, SPECT/CT)  

Introduction to Image Processing 

Generally, image processing is the practice of manipulating images through different techniques to generate an enhanced new image . Further, it is also referred to as signal processing which yields image/ image feature as output after processing input image.

• Input:  Features
• Output:  Understanding
• Examples:  Autonomous Driving and Scene Parsing
• Input:  Image
• Output:  Image
• Examples:  Image Sharpening and De-noising
• Output:  Features
• Examples: Image Segmentation and Object Identification

Due to the flexibility in image processing, this field is widely growing in all the leading research areas and applications . On the whole, it becomes the central research field in information and computer science engineering disciplines. Her, we have listed out a few latest Digital Image Processing Thesis ideas .

Research Topics in Digital Image Processing 

• Remote Ultra-High Resolution Image Formation
• 3D Image Display, Printing, and Scanning
• High-Speed Video / Image Synthesis and Processing
• 3 Dimensional Image Display and Acquisition
• Industrial Ultrasound Image and Signal Processing Applications

Majorly, DIP involves two main operations in all the applications. Firstly, it manipulates the image for better computer vision which includes representation and storage. Secondly, it enhances the image quality for human understanding . Also, it falls under any of the below frequencies.  

How do frequencies show up in an image? 

• High frequencies – High variation in pixel intensities (For example edges)
• Low frequencies – Slow variation in pixel intensities (For instance: continuous surface)  

What is Digital Image Processing (DIP)?

Digital Image Processing (DIP) is mathematical operations enabled software which mainly designed to process the computer stored digital images . Through this technique, we can manipulate the images in all aspects to get the fine-tuned information of the image . We guide research scholars to choose interesting digital image processing thesis topics .  For instance: MATLAB, Adobe Photoshop, etc. For your reference, here, we have given the high demanding research areas for the current DIP PhD / MS research study.

Types of an image

• Black and White Image  – The black and white image is exactly referred to as grayscale image which a pixel value may be either absolute white or absolute black
• 8-bit Color Format  – It is also a grayscale image with a different range of values. Here, each pixel represents 8bit color which can display a maximum of 256 different shades of colors. (1 – white, 127 – gray, 255 – back)
• Binary Image  – The binary image is also referred to as Monochrome which contains only a 2-pixel intensity value i.e., 1and 0. (1 – white and 0 – black)
• 16-bit Color Format – It is a High Color Format with 65,536 colors variation. Compare to the grayscale, it has a different format for color distribution

What are the steps in digital image processing?

• Color Space Image Processing
• Image Acquisition and Compression
• Object Recognition and Classification
• Image Enhancement and Restoration
• Wavelets and Multi-resolution Processing
• Morphological Processing and Segmentation
• Knowledge Representation and Description

Further, it is also helpful to enhance the images, view the invisible data, detect the specific object, reconstruct the damaged image, extract the special features , etc. By the by, it is also called digital signal processing which is a covert signal from the image sensor to digital images. Also, we have given the different types of images that we use for processing the image.  

Research Areas in Digital Image Processing 

Recently, our resource team has handpicked the unique research areas for digital image processing thesis. The below areas are very significant to begin your research career. These areas surely shape your knowledge to create a strong foundation in your profession.

• Industrial Applications
• Human-Computer / Machine Interfaces
• Artistic Impact on Image
• Video and Image Processing Architecture
• Medical Image Visualization and Inspection
• Image Restoration and Quality Improvement
• Insight of the image content (Computer Vision)
• Fast Video or Image Labeling, Distributing and Retrieval
• Creation and Synthesis of images (Computer Graphics)

In addition to research and development services, we also give our support in Digital Image Processing Thesis writing. We have a team of native writers to help you in preparing a flawless master thesis. For the best thesis writing service , we follow certain policies in writing your thesis. For your information, we have given the list of criteria that we include in developing the best thesis to publish your work in latest image processing journals list .  

Thesis Writing Format 

• Give a brief overview of the research proposal
• Elaborate the handpicked research question/problem
• Analyze the theoretical context
• Review the related topics from recent history
• Find whether someone makes a debate on gaps
• Identify the research gaps in the selected area
• Survey on problem-solving methods in related works
• Ethics Statement
• Design the system architecture
• Mention what type of data is used as input
• Give the summary flow of research
• Analyze the required costs for execution
• Access and Select the optimal ones
• Acquire the proposed algorithms and methods
• Human Subjects Assessment
• Give an explanation on primary findings
• Analyze and reveal the weakness
• Notify the approaches to be followed
• Give the proofs or evidence for the research need
• Give information about the research scope
• Make a note on relations and categories
• Define the limitation statement
• Specify the suitable alternatives
• Describe the significance of the research
• Mention the contribution given to the field through research

Overall, if you are looking best end-to-end research support in the Digital Image Processing Thesis Writing , then you can find it as the one-stop solution. We will give our top-quality research service to attain the finest research outcome.

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Downloadable Content

Digital Image Restoration and Enhancement Application In MATLB

• Masters Thesis
• Golestanian, Ayrin
• Mkrtchyan, Katya
• Wiegley, Jeffrey
• McIlhenny, Robert
• Computer Science
• California State University, Northridge
• Digital Image Restoration and Enhancement Application
• Dissertations, Academic -- CSUN -- Computer Science.
• 2021-01-13T21:17:51Z
• http://hdl.handle.net/10211.3/218388
• by Ayrin Golestanian

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

• Corpus ID: 244907430

Master Thesis-Medical Image Analysis using Deep Learning

• Stephan , Declaration OF Originality
• Published 2020
• Medicine, Computer Science

Figures and Tables from this paper

80 References

Deep learning for digital pathology image analysis: a comprehensive tutorial with selected use cases, a weakly supervised method for instance segmentation of biological cells, a dataset and a technique for generalized nuclear segmentation for computational pathology.

• Highly Influential

U-Net: Convolutional Networks for Biomedical Image Segmentation

• 17 Excerpts

Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention

Methods for segmentation and classification of digital microscopy tissue images, chest radiograph pathology categorization via transfer learning, robust nuclei segmentation in histopathology using asppu-net and boundary refinement, inception u-net architecture for semantic segmentation to identify nuclei in microscopy cell images, a nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution, related papers.

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