• Niharikareddy Meenigea

Image process could be a methodology to perform some operations on a picture, so as to induce Associate in Nursing increased image or to extract some helpful data from it. it's a kind of signal process within which input is a picture and output might be an image or characteristics/features related to that image. Image process tools include: OpenCV, Scikit Image, NumPy. A Generative Adversarial Network (GAN) is essentially wont to learn the extracted representations and any animate the photographs. the most object of our methodology is to create our framework additional governable and adjusting. Generative modelling is Associate in Nursing unattended learning task in machine learning that involves mechanically discovering and learning the regularities or patterns in input file in such how that the model may be wont to generate or output new examples that credibly might are drawn from the first dataset. OpenCV is Associate in Nursing ASCII text file python library used for pc vision and machine learning. it's principally geared toward time period pc vision and image process. it's wont to perform different operations on pictures that rework them victimisation different techniques. NumPy could be a library for scientific computing in Python. It provides a superior flat array object and tools for operating with these arrays. A NumPy array is analogous to an inventory. we are able to solid an inventory to a NumPy array by first importation it. NumPy arrays contain information of a similar type; we are able to use the attribute “ditype” to get the info style of the array’s components. The algorithms utilized in image process area unit morphological Image process, mathematician Image process, Fourier rework in image process, Edge Detection in image process, rippling Image process, Convolutional Neural.

Bringing Life to Still Images: Cartoonification using OpenCV and Python

"Bringing Life to Still Images: Cartoonification using OpenCV and Python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.f440-f449, September 2022, Available :http://www.jetir.org/papers/JETIR2209578.pdf

"Bringing Life to Still Images: Cartoonification using OpenCV and Python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppf440-f449, September 2022, Available at : http://www.jetir.org/papers/JETIR2209578.pdf