"Image optimization" refers to the process of adjusting and enhancing images to optimize their quality, reduce file size, or tailor them for specific use cases. This process can improve various aspects of images, including image quality, web loading times, storage space utilization, or overall visual aesthetics.
Typical features of software in the "image optimization" domain include:
Compression: The ability to compress images to reduce file size without significant loss of quality.
Resolution adjustment: Features for adjusting image resolution to reduce file size or optimize image quality, depending on the use case.
Format conversion: The capability to convert images between different file formats to optimize them for various platforms or purposes.
Image cropping and trimming: Tools for cropping or trimming images to remove unwanted areas or enhance the image composition.
Color optimization: Functions for optimizing colors, contrasts, and brightness to enhance the visual quality of images.
Metadata optimization: The ability to remove unnecessary metadata from image files to reduce file size and improve loading times.
Batch processing: The capability to apply optimization tasks to a group of images simultaneously to increase efficiency.
Preview and comparison: Features for previewing the optimized images and comparing them with the original images to ensure desired results have been achieved.
