Penelitian mengenai pengolahan citra digital telah banyak dilakukan oleh para peneliti di dunia. Berbagai metode dikembangkan dengan tujuan agar meningkatkan kualitas citra sehingga dapat lebih mudah diinterpretasi dan juga dapat dianalisis secara objektif. Berikut ini merupakan beberapa jurnal penelitian mengenai pengolahan citra digital, dengan Adi Pamungkas sebagai salah satu penulis:

1. Automatic Thresholding with Otsu’s Method to Identify Plasmodium falciparum Phase in Malaria-infected Red Blood Cells

2. Autothresholding Segmentation For Tuberculosis Bacteria Identification In The Ziehl-Neelsen Sputum Sample

3. Beef Quality Identification Using Thresholding Method and Decision Tree Classification Based on Android Smartphone

4. Detection Lung Cancer Using Gray Level Co-Occurrence Matrix (GLCM) and Back Propagation Neural Network Classification

5. Identification of Plasmodium Falciparum Development Phase in Malaria Infected Red Blood Cells using Adaptive Color Segmentation and Decision Tree based Classification

6. Identification of Plasmodium Falciparum Phase in Red Blood Cells using Artificial Neural Networks

7. Identifying the Developmental Phase of Plasmodium Falciparum in Malaria-Infected Red Blood Cells Using Adaptive Color Segmentation And Back Propagation Neural Network

8. Tuberculosis (Tb) Identification In The Ziehl-Neelsen Sputum Sample In NTSC Channel And Support Vector Machine (SVM) Classification

9. Volume Target Delineation for Brain Tumor in MRI Images Using Active Contour Segmentation Method

10. Automatic vehicle counting using background subtraction method on gray scale images and morphology operation