# Image Processing Techniques and Applications

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/image-processing-techniques-and-applications/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the development and evaluation of autofocusing algorithms for microscopy and digital cameras, with applications in depth estimation, shape reconstruction, and tuberculosis detection. It also explores techniques such as shape from focus, defocus, and image processing methods for accurate autofocusing in various imaging systems. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t13114 |
| Works | 83 |

## Topic papers all

Showing 15 of 83.

- [Feedback Network for Image Super-Resolution](https://scholariq.org/papers/feedback-network-for-image-super-resolution/)
- [Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images](https://scholariq.org/papers/incremental-learning-based-cascaded-model-for-detection-and-localization-of/)
- [Unsupervised Degradation Representation Learning for Blind Super-Resolution](https://scholariq.org/papers/unsupervised-degradation-representation-learning-for-blind-super-resolution/)
- [Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases](https://scholariq.org/papers/accurate-leukocyte-detection-based-on-deformable-detr-and-multi-level-feature/)
- [Automated Segmentation, Classification, and Tracking of Cancer Cell Nuclei in Time-Lapse Microscopy](https://scholariq.org/papers/automated-segmentation-classification-and-tracking-of-cancer-cell-nuclei-in-time/)
- [Learning Parallax Attention for Stereo Image Super-Resolution](https://scholariq.org/papers/learning-parallax-attention-for-stereo-image-super-resolution/)
- [DMD-based LED-illumination Super-resolution and optical sectioning microscopy](https://scholariq.org/papers/dmd-based-led-illumination-super-resolution-and-optical-sectioning-microscopy/)
- [Exploring Sparsity in Image Super-Resolution for Efficient Inference](https://scholariq.org/papers/exploring-sparsity-in-image-super-resolution-for-efficient-inference/)
- [Speckle reduction in optical coherence tomography images using digital filtering](https://scholariq.org/papers/speckle-reduction-in-optical-coherence-tomography-images-using-digital-filtering/)
- [Cross-Sectional Evaluation of Humoral Responses against SARS-CoV-2 Spike](https://scholariq.org/papers/cross-sectional-evaluation-of-humoral-responses-against-sars-cov-2-spike-2/)
- [Synthetic depth-of-field with a single-camera mobile phone](https://scholariq.org/papers/synthetic-depth-of-field-with-a-single-camera-mobile-phone/)
- [Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition](https://scholariq.org/papers/coupled-dictionary-and-feature-space-learning-with-applications-to-cross-domain/)
- [Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network](https://scholariq.org/papers/denoising-of-3d-magnetic-resonance-images-using-a-residual-encoder-decoder/)
- [A comparison of nature inspired algorithms for multi-threshold image segmentation](https://scholariq.org/papers/a-comparison-of-nature-inspired-algorithms-for-multi-threshold-image/)
- [Region level based multi-focus image fusion using quaternion wavelet and normalized cut](https://scholariq.org/papers/region-level-based-multi-focus-image-fusion-using-quaternion-wavelet-and/)

## Topic primary papers

- [Cross-Sectional Evaluation of Humoral Responses against SARS-CoV-2 Spike](https://scholariq.org/papers/cross-sectional-evaluation-of-humoral-responses-against-sars-cov-2-spike-2/)
- [Face liveness detection using variable focusing](https://scholariq.org/papers/face-liveness-detection-using-variable-focusing/)
- [Simplified parameters model of PCNN and its application to image segmentation](https://scholariq.org/papers/simplified-parameters-model-of-pcnn-and-its-application-to-image-segmentation/)
- [Image processing for AFB segmentation in bacilloscopies of pulmonary tuberculosis diagnosis](https://scholariq.org/papers/image-processing-for-afb-segmentation-in-bacilloscopies-of-pulmonary/)
- [A Segmentation-Recognition Approach with a Fuzzy-Artificial Immune System for Unconstrained Handwritten Connected Digits](https://scholariq.org/papers/a-segmentation-recognition-approach-with-a-fuzzy-artificial-immune-system-for/)
- [Ultrafast automatic classification of SEM image sets showing CD4 + cells with varying extent of HIV virion infection](https://scholariq.org/papers/ultrafast-automatic-classification-of-sem-image-sets-showing-cd4-cells-with/)
- [Automatic assessment of the degree of TB-infection using images of ZN-stained sputum smear: New results](https://scholariq.org/papers/automatic-assessment-of-the-degree-of-tb-infection-using-images-of-zn-stained/)
- [Monkeypox Classification Using Fractal-CNN](https://scholariq.org/papers/monkeypox-classification-using-fractal-cnn/)
- [Autofocusing With 3-D Tracking for Robot-Assisted Microsurgery](https://scholariq.org/papers/autofocusing-with-3-d-tracking-for-robot-assisted-microsurgery/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.