Computer Vision Fundamentals of image formation Image Formats Color and Pixelation Digital image processing Types of images Convolution Neural Network Image Classification Image Segmentation Convolution Padding and Stride Object Detection YOLO Algorithm Computer Vision Quiz

Image formats

Image formats are standardized ways of representing and storing images digitally.

Different image formats have varying properties, compression methods, and capabilities, making them suitable for different use cases.

In computer vision, selecting the right image format is important for efficient storage, transmission, and processing of images.

Some common image formats used in computer vision:

  1. JPEG (Joint Photographic Experts Group): JPEG is a widely used lossy compression format for photographs and natural images. It achieves high compression ratios by removing details that the human eye is less sensitive to. While it's great for storing photos, it might not be suitable for images with sharp edges and text, as it can introduce artifacts.

  2. PNG (Portable Network Graphics): PNG is a lossless compression format that supports both grayscale and color images. It's particularly useful for images with sharp edges, text, and areas of uniform color, as it maintains high-quality images without introducing compression artifacts. PNG also supports transparency and alpha channel, making it suitable for images with transparent backgrounds.

  3. TIFF (Tagged Image File Format): TIFF is a versatile format that supports lossless compression and can store multiple images (such as multi-page documents). It's commonly used in fields like printing, graphic design, and medical imaging, where high-quality images and various data types are important.

  4. BMP (Bitmap): BMP is a basic uncompressed format that stores pixel data without any compression. It's suitable for small images where file size is not a concern. BMP files can be quite large compared to other formats, making them less practical for large-scale applications.

  5. GIF (Graphics Interchange Format): GIF is a lossless compression format that supports animations and simple graphics. It uses a limited color palette of up to 256 colors, making it suitable for images with large areas of flat color.

  6. RAW: RAW formats store unprocessed sensor data captured by digital cameras. They offer greater flexibility for post-processing but require specialized software to be converted into more common formats like JPEG or TIFF.

  7. WebP: WebP is a modern image format developed by Google that offers both lossless and lossy compression. It's designed to provide high-quality images with smaller file sizes, making it suitable for web applications where loading times are critical.

  8. EXR (OpenEXR): EXR is a high-dynamic-range (HDR) image format used for storing images with a wide range of intensity values. It's commonly used in visual effects, computer graphics, and animation industries.

The choice of image format depends on factors such as image quality, file size, transparency, compression requirements, and intended use.

In computer vision, image formats play a crucial role in how images are stored, transmitted, and processed, so understanding the strengths and limitations of different formats is important for achieving optimal results.

Image formats


Enroll Now

  • Python Programming
  • Machine Learning