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Point Transformation\n- **Point Transformation**: Image processing technique where only the pixel values are changed (the pixel position remains unchanged). This method handles only the pixel's value itself.\n- **Mapping**: Two types - forward mapping and inverse mapping.\n\n### 2. Geometric Transformation\n- **Geometric Transformation**: An image processing technique where the pixel positions are changed, not the pixel values.\n- **Interpolation**: Used to estimate pixel values during geometric transformations.\n\n### 3. Spatial-Domain Filtering\n- **Spatial-Domain Filtering**: A technique that changes both the pixel values and their positions using the values of neighboring pixels.\n\n### 4. Frequency-Domain Processing\n- **Frequency-Domain Processing**: Image processing performed in the frequency domain, often allowing for more efficient manipulation of certain image properties.\n\n### 5. Compression\n- **Image Compression Techniques**: Methods used to reduce image data size to optimize storage and transmission, particularly useful in high-traffic environments.\n  - **Encoder**: Processes to reduce the image data size.\n  - **Decoder**: Reconstructs the compressed image data back to its original form.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feesunmoon%2Fimage_processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feesunmoon%2Fimage_processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feesunmoon%2Fimage_processing/lists"}