# ECE 738: Advanced Digital Image Processing | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ECE_738)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T19:50:42.743001+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
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### term

1272

### departments

| subject   | count |
| --------- | ----- |
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| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
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| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
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| INTEREGR  | 16    |
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| MEDICINE  | 60    |
| MEDIEVAL  | 32    |
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| MEDSC-M   | 29    |
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| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
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| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
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| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

4abd0cded34f64ae6426ef5fe21075ad22a021c43fa3b4021de903556e51d96c

### course id

ECE 738

### course uid

course\_b09356031dcbc8fef98b7350

### catalog version id

fdb8d8c882a52c53bffed799d40622af191be926248dd56311967e8bf8b34ec3

### course number

738

### subjects

* ECE

### title

ADVANCED DIGITAL IMAGE PROCESSING

### description

Deterministic and stochastic spatio-temporal image models, transform domain processing, Markov random fields and anisotropic diffusion; MAP parameter estimation, ill-posed inverse problems, robust statistics and non-linear digital filtering in image processing. Applications to image restoration, motion estimation, (video) image compression (MPEG, JPEG) and tomography. Knowledge of image processing \[such asE C E/​COMP SCI  533] strongly encouraged.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

c1a0ad00b2aebba8e9b3c8706b36c23cf76255dcd613392f3a678500ef06b9fa

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

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

### llm 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.

### llm 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.

### llm assumed background

* Foundational image processing concepts including degradation models, enhancement, segmentation, and coding.

### llm search phrases

* spatio-temporal image models
* Markov random fields
* anisotropic diffusion
* MAP parameter estimation
* ill-posed inverse problems
* image restoration
* motion estimation
* video compression
* tomography

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

754edb00eb08e89d1ae46bf137152e9c9498d017f126a342b5b91a09626c99a8

#### course id

ECE 738

#### current instructors

None recorded.

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

false

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

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).

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```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

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```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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]
```

### statistics

#### gpa

3.901

#### graded

176

#### counts

* 160
* 5
* 9
* 0
* 1
* 0
* 1

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b09356031dcbc8fef98b7350-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b09356031dcbc8fef98b7350-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b09356031dcbc8fef98b7350-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b09356031dcbc8fef98b7350-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b09356031dcbc8fef98b7350-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b09356031dcbc8fef98b7350-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.9005681818181817

#### count

176

#### university

##### size

3594

##### gpa Percentile

76

##### count Percentile

60

##### median Count

124

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 15    | false   |
| 2.8–3.2 | 288   | false   |
| 3.2–3.6 | 1030  | false   |
| 3.6–4.0 | 2261  | true    |

#### departments

```json
[
  {
    "subject": "ECE",
    "comparison": {
      "size": 95,
      "gpaPercentile": 84,
      "countPercentile": 51,
      "medianCount": 167,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 39,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 47,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1074

##### term

1074

##### gpa

4

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1094

##### term

1094

##### gpa

4

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1144

##### term

1144

##### gpa

3.96

##### count

25

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1164

##### term

1164

##### gpa

4

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1184

##### term

1184

##### gpa

4

##### count

17

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1194

##### term

1194

##### gpa

4

##### count

26

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1204

##### term

1204

##### gpa

3.8958333333333335

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1224

##### term

1224

##### gpa

4

##### count

21

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1234

##### term

1234

##### gpa

4

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

#### 1254

##### term

1254

##### gpa

3.44

##### count

25

##### departments

| subject | comparison |
| ------- | ---------- |
| ECE     |            |

### benchmarks

#### all

##### school

###### size

3594

###### gpa

3.655985481492284

###### top Share

81.66808436554237

###### count

124

##### ECE

###### size

95

###### gpa

3.571345848396621

###### top Share

77.14127133233802

###### count

167

#### terms

##### 1074

###### school

###### size

695

###### gpa

3.3616924722887376

###### top Share

63.22509110105764

###### count

69

###### ECE

###### size

20

###### gpa

3.110370466319829

###### top Share

50.72606982804236

###### count

46

##### 1094

###### school

###### size

758

###### gpa

3.3891454428111527

###### top Share

64.36369814389255

###### count

71

###### ECE

###### size

18

###### gpa

3.1709531378777993

###### top Share

48.482368483424565

###### count

52

##### 1144

###### school

###### size

878

###### gpa

3.4092443327803017

###### top Share

65.95978235963416

###### count

64

###### ECE

###### size

29

###### gpa

3.3963570521991486

###### top Share

65.23099367558979

###### count

59

##### 1164

###### school

###### size

965

###### gpa

3.46491230798535

###### top Share

69.92376287143657

###### count

68

###### ECE

###### size

32

###### gpa

3.3387002225789923

###### top Share

63.627072447149246

###### count

83.5

##### 1184

###### school

###### size

1010

###### gpa

3.47925290354517

###### top Share

70.86270937115944

###### count

68

###### ECE

###### size

34

###### gpa

3.4797837203421706

###### top Share

70.14653057475711

###### count

84.5

##### 1194

###### school

###### size

1040

###### gpa

3.4906527436719808

###### top Share

71.74728845515045

###### count

67

###### ECE

###### size

36

###### gpa

3.5139370942069434

###### top Share

73.58293880609176

###### count

77

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### ECE

###### size

34

###### gpa

3.7346193271517083

###### top Share

86.80502962000203

###### count

73.5

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### ECE

###### size

43

###### gpa

3.493101515836076

###### top Share

71.87667215876023

###### count

78

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### ECE

###### size

41

###### gpa

3.521247893399985

###### top Share

73.18909826442149

###### count

70

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### ECE

###### size

40

###### gpa

3.5198762319632855

###### top Share

74.0918065550377

###### count

87.5

## instructor Trends

```json
[
  {
    "uid": "instructor_49ad2008bae9eaafa29e17ca",
    "name": "BILL SETHARES",
    "count": 162,
    "terms": [
      {
        "term": "1094",
        "count": 12,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1144",
        "count": 25,
        "sections": 1,
        "gpa": 3.96
      },
      {
        "term": "1164",
        "count": 12,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1184",
        "count": 17,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1194",
        "count": 26,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1204",
        "count": 24,
        "sections": 1,
        "gpa": 3.8958333333333335
      },
      {
        "term": "1224",
        "count": 21,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1254",
        "count": 25,
        "sections": 1,
        "gpa": 3.44
      }
    ]
  },
  {
    "uid": "instructor_08573dd5525332150a039cef",
    "name": "YU HU",
    "count": 14,
    "terms": [
      {
        "term": "1074",
        "count": 7,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1234",
        "count": 7,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
