A Novel Approach for Generating Composite Sketches from Mugshot Photographs
| Autor: | Sannidhan M S, K B Sudeepa, S. Pallavi, Abhir Bhandary |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021110 strategic
defence & security studies Pixel Image quality Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Gaussian blur Image processing 02 engineering and technology Facial recognition system Sketch symbols.namesake Face (geometry) 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS Unsharp masking |
| Zdroj: | ICACCI |
| Popis: | Generation of sketch is being considered as a prominent research topic in image processing, the importance of which is increasing manifold. Converting an image from pixels to a sketch has a massive effect on several applications. Sometimes, the generated sketches may appear blurred and of degraded quality, then, the enhancement of sketch becomes a promising approach to increase each detail of the sketch. Measuring the quality of the generated sketch is important as the performance solely depends on image quality. In this paper, we develop a novel approach to generate the sketch for a corresponding input facial image by undergoing several stages. Here, Gaussian blur is used to blur the given image. Subsequently, enhancement of the sketch is done using Unsharp masking technique. We measure the quality of sketch before and after enhancement using quality assessment methods such as PSNR, MSE, NAE and it is compared against benchmarked quality measures. Experimental analysis is conducted using CUHK and PRIP-HDC datasets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|