作者: Saumik Bhattacharya , Sumana Gupta , Venkatesh K Subramanian
关键词: Edge enhancement 、 Artificial intelligence 、 Mathematics 、 Computer vision 、 Contrast (vision) 、 Image quality 、 Top-hat transform 、 Image restoration 、 Feature detection (computer vision) 、 Image processing 、 Chrominance
摘要: Image enhancement is a well established field in image processing. The main objective of to increase the perceptual information contained an for better representation using some intermediate steps, like, contrast enhancement, debluring, denoising etc. Among them, especially important as human eyes are more sensitive luminance than chrominance components image. Most algorithms proposed till now global methods. major drawback this approach that practical scenarios, does not deteriorate uniformly and outputs techniques reach saturation at proper points. That leads loss. In fact, best our knowledge, no non-reference measure quality has yet been localized enhancement. We propose fast algorithm locally singular value decomposition (SVD) attempt define parameters which can give clues related progress process.