Fall 2026

Advanced Digital Image Processing

ECE 738 covers advanced digital image processing, focusing on spatio-temporal models, Markov random fields, and inverse problem solutions for restoration and compression.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2025: 3.44 GPA, 64.0% A/AB (n=25 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ECE 738

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Prerequisite text tree
  • Graduate/professional standing

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2025: 3.44 GPA, 64.0% A/AB (n=25 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Spatio-temporal image models.
  • Markov random fields and anisotropic diffusion.
  • MAP parameter estimation and ill-posed inverse problems.
  • Robust statistics and non-linear digital filtering.
  • Image restoration, motion estimation, compression, and tomography.

Skills

  • Modeling spatio-temporal images using deterministic, stochastic, and Markov random field approaches.
  • Applying MAP estimation, robust statistics, and non-linear filtering to solve ill-posed inverse problems.
  • Applying advanced processing techniques to restoration, motion estimation, compression, and tomography.

Grades

Latest available · Spring 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
B
BC
C
D
F

Grades over time

Through Spring 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "c1a0ad00b2aebba8e9b3c8706b36c23cf76255dcd613392f3a678500ef06b9fa",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}