Generative Adversarial Networks (GANs) are a powerful class of neural networks used for unsupervised learning1. GANs consist of two neural networks: a generator and a discriminator1. The generator learns to produce novel examples, and the discriminator is tasked with distinguishing between genuine and generated instances1. Through adversarial training, these models engage in a competitive interplay until the generator becomes adept at creating realistic samples1. GANs have shown remarkable capabilities in generating lifelike content across various domains1. They can be used to create new data instances where data collection is difficult or impossible2. They have revolutionized generative modeling and have extensive use in image synthesis, style transfer, and text-to-image synthesis1.

Image Generators are tools that can transform text or other forms of input into stunning visuals34. They use advanced AI technology to generate beautiful images that are unique and engaging3. They are often used in creative projects, social media marketing, and blogging3.

Image Sharpness refers to the clarity of the texture and borders of various detailed parts of an image5. It is how clearly detail is rendered in a photograph6. Sharpness determines the amount of detail an imaging system can reproduce7. There are online tools available that can help you to sharpen your images and improve their apparent sharpness89.

Image Contrast is the difference in lighting that brings out bright highlights and dark shadows in a photo10. It is the degree of difference between the elements that form an image11. High contrast images contain dark shadows and bright highlights, while low contrast photos have a narrow color range10. There are online tools available that can help you to adjust the contrast of your images12.

A Single Photon Avalanche Diode (SPAD) sensor is a type of image sensor12. Unlike CMOS sensors typically used in digital cameras, SPAD sensors operate on different principles12. Each pixel in a SPAD sensor possesses an electronic element2. When a single light particle, called a photon, reaches a pixel, it is multiplied, creating an “avalanche” that results in a single large electrical pulse2. This enables clear image capture of subjects that is free from signal noise, and provides such advantages as greater sensitivity during image capture and high-precision distance measurement2.

Canon has successfully developed an ultra-small (13.2mm x 9.9mm) SPAD sensor capable of capturing the world’s highest resolution 3.2-megapixel color photography1. This is a higher resolution than Full HD (approximately 2.07 megapixels), even in low-light environments1. The newly developed SPAD sensor employs a proprietary pixel architecture that reflects photons inside the pixel in order to effectively detect photons across the entire range of the effective pixels2. Under equivalent light, this SPAD sensor can capture the same images as a conventional CMOS sensor while requiring only 1/10 of the imaging area2. This makes possible an ultra-small design that can be installed even in small devices and greatly increases sensitivity, including for light on the near-infrared spectrum, and realizes video capture with 3.2 megapixels under low-light conditions of 0.002 lux