La mejora de imágenes se refiere a una variedad de técnicas utilizada en procesamiento de imágenes to improve the visual quality of images. This process aims to make specific features of an image more distinguishable or enhance overall aesthetics, facilitating better analysis or interpretation. It is widely applied in fields such as photography, imagen médica, remote sensing, and computer vision.
Los métodos comunes de mejora de imágenes incluyen:
- Ajuste de contraste: Techniques like ecualización del histograma mejorar el contraste de una imagen, haciendo que los detalles sean más visibles.
- Reducción de ruido: Various algorithms, such as Gaussian filtering or median filtering, help in reducing unwanted noise while preserving essential features.
- Enfoque: Methods like unsharp masking enhance the edges in an image, making it appear clearer and more defined.
- Corrección de color: This process adjusts the colors in an image to ensure accuracy o mejorar el atractivo visual.
- Restauración de imágenes: Techniques used to recover an image that has been degraded by factors like blur or noise.
Image enhancement can be performed using various software tools and libraries, including Photoshop for general users, or programming libraries like OpenCV for more technical applications. In the context of inteligencia artificial, image enhancement can also involve advanced techniques like deep learning, where neural networks learn to enhance images based on training data. This can lead to impressive results that were once difficult to achieve with traditional methods.