Sargaraj T

Ansab Rahman V V

Sreeraj M V

Images are one of the most important bases of the modern world.We study from images, store our memories as images, digitalize our data as images, even machine learn from images. But all these images are really crisp and clear? Really not! There are many situations which can make our images blurry, pixelated, noisy or low quality. This can be due to low quality image sensors/devices, digitally zoomed images, or something else. Sometimes the images we get from the internet are also with low resolution. Thus we propose ISRGAN, An Improved Super Resolution Image Tools using Generative Adversarial Network. GAN is one of the most important research avenues in the field of artificial intelligence,and its outstanding data generation capacity has received wide attention. Here we use GAN to reproduce the structure/quality of a low resolution image and reconstruct the image to high resolution.