RRY025 / ASM420 Image processing lp1 HT20 (7.5 hp)
Course is offered by the department of Space, Earth and Environment
...along with their contact details. If the course have external guest lecturers or such, give a brief description of their role and the company or similar they represent.
If needed, list administrative staff, along with their contact details.
Short description of the course purpose and content: can be copied from syllabus in Studieportalen. Additional information can be added.
List all mandatory literature, including descriptions of how to access the texts (e.g. Cremona, Chalmers Library, links).
Also list reference literature, further reading, and other non-mandatory texts.
Description of the course's learning activities; how they are implemented and how they are connected. This is the student's guide to navigating the course. Do not forget to give the student advice on how to learn as much as possible based on the pedagogy you have chosen. Often, you may need to emphasize concrete things like how often they should enter the learning space on the learning platform, how different issues are shared between supervisors, etc.
Provide a plan for
- laboratory work
Should contain a description of how the digital tools (Canvas and others) should be used and how they are organized, as well as how communication between teachers and students takes place (Canvas, e-mail, other).
Do not forget to describe any resources that students need to use, such as lab equipment, studios, workshops, physical or digital materials.
You should be clear how missed deadlines and revisions are handled.
Changes made since the last occasion
A summary of changes made since the last occasion.
Learning objectives and syllabus
- Visualise via means of mental images the process of forming 1D and 2D Fourier transforms and also the convolution process. Describe the similarities and differences between the continuous and discrete Fourier transforms and their inter-relationship.
- Select and apply appropriate image enhancement methods for different applications. Discriminate between cases where automated image enhancement methods produce appropriate results and where they do not.
- Understand the differences between averaging and median filtering for reducing image noise.
- Demonstrate understanding of image smoothing and sharpening in both the image and Fourier domains. Select between optimum methods of edge detection in different applications.
- Describe common distorted images as convolutions of the true image with point spread functions (PSF). Describe and decide under which conditions different image restoration algorithms can be used and describe the strengths and weakness of these algorithms.
- Describe the Cosine transform and its relationship to the Fourier transform.
- Demonstrate a basic understanding of wavelets and know how to use them to compress and denoise data.
- Explain the difference between lossy and lossless compression methods and explain the concept of data redundancy as the source of compression. Describe the subcomponents of general compressor/decompressor algorithms. Calculate theoretical limits to lossless compression using the Shannon noiseless coding theorem and implement Huffman coding.
- Describe a variety of different mapping functions that can be used to obtain compression and decide when different methods are appropriate. Show via examples why Digital Pulse Code Modulation (DPCM) works and is stable in the face of quantisation errors.
- Describe the main components of the JPEG standard.
- Write computer code in MATLAB to implement selected image processing algorithms.
Link to the syllabus on Studieportalen.
If the course is a joint course (Chalmers and Göteborgs Universitet) you should link to both syllabus (Chalmers and Göteborgs Universitet).
Description of how the examination – written examinations and other – is executed and assessed.
- what components are included, the purpose of these, and how they contribute to the learning objectives
- how compulsory and/or voluntary components contribute to the final grade
- grading limits and any other requirements for all forms of examination in order to pass the course (compulsory components)
- examination form, e.g. if the examination is conducted as a digital examination
- time and place of examination, both written exams and other exams such as project presentations
- aids permitted during examinations, as well as which markings, indexes and notes in aids are permitted
Do not forget to be extra clear with project assignments; what is the problem, what should be done, what is the expected result, and how should this result be reported. Details such as templates for project reports, what happens at missed deadlines etc. are extra important to include.
The syllabus page shows a table-oriented view of course schedule and basics of course grading. You can add any other comments, notes or thoughts you have about the course structure, course policies or anything else.
To add some comments, click the 'Edit' link at the top.