Discover the versatile features of image processing, a powerful toolkit for manipulating digital images. From basic adjustments to advanced techniques, explore how image processing enhances tasks like noise reduction, object detection, and color correction in fields such as photography, medical imaging, and computer vision.
Explore the remarkable features of image processing, a dynamic field that enables manipulation and enhancement of digital images. From basic adjustments to sophisticated techniques, discover how image processing transforms photos and facilitates tasks such as noise reduction, object detection, and color correction. Whether in photography, medical imaging, or computer vision, the capabilities of image processing continue to evolve, shaping various industries and driving innovation forward.
Image processing is a field that includes methods for acquiring, processing, analysing, and understanding images.
Mobile image processing involves modifying, classifying or somehow interpreting images that are captured on mobile devices.
Using Mobile Image processing , users have ability to modify images taken from the device’s camera immediately after taking a photograph by applying different filters, Frames, effects etc.
There are different tools available to enhance the pictures taken. Some of them are as follows:-
- Manual brightness/ contrast adjustment
- Auto brightness/ contrast
- Auto enhancement
- Auto cropping/ Edge detection (Recognize edges)
- Gray scaling
- Manual crop
- Noise removal
- Inversion
- Rotation
- Fixed rotation
- Sharpening
- Perspective correction
Advantages:
- We can remove unwanted objects
- We can adjust exposure
- Saturation of images
- Levels the images
- Sharpness and more
- Removing noise
- Non-destructive editing
Disadvantages:
- If the object is blurred it is difficult to notice
- Contain text that is very small
The advanced Features of image processing like Edge detecting, Smoothing, sharpening etc brings more effective ways to create photos. It has a lot of scope in the upcoming generations and future apps.
