A New Image Completion Method Inserting an Image Generated by Sketch Image

New Method for Analysis of image sensor to produce and evaluate the image

In this paper, a new method for evaluating CMOS image sensors based on computer modeling and analysis is introduced. Image sensors are composed of different parts, each of which has a specific effect on image quality. Circuits of image sensors can be evaluated and analyzed using circuit simulators or theoretically, but these methods cannot help to produce the final image. In order to produce th...

A New Shearlet Framework for Image Denoising

Traditional noise removal methods like Non-Local Means create spurious boundaries inside regular zones. Visushrink removes too many coefficients and yields recovered images that are overly smoothed. In Bayesshrink method, sharp features are preserved. However, PSNR (Peak Signal-to-Noise Ratio) is considerably low. BLS-GSM generates some discontinuous information during the course of denoising a...

An “Airy” Image

Sketch-to-Image Generation Using Deep Contextual Completion

When the input to pix2pix translation [9] is a badly drawn sketch, the output follows the input edges due to the strict alignment imposed by the translation process. In this paper we propose sketch-to-image generation, where the output edges do not necessarily follow the input edges. We address the image generation problem using a novel joint image completion approach, where the sketch provides...

A Pixon-based Image Segmentation Method Considering Textural Characteristics of Image

Image segmentation is an essential and critical process in image processing and pattern recognition. In this paper we proposed a textured-based method to segment an input image into regions. In our method an entropy-based textured map of image is extracted, followed by an histogram equalization step to discriminate different regions. Then with the aim of eliminating unnecessary details and achi...