抽象的

Image Enhancement Using Colour Space Conversion and Discrete Wavelet Transform

S.Palaneeswari, K.Fathima Begam

The objective of the paper is to improve the quality of image such as Medical or Satellite image . In this paper a technique has been proposed based on Discrete Wavelet Transform with Singular Value Decomposition. In this transform decompose the image into four sub bands, out of four bands one is low frequency and remaining are high frequency. Then the modified image is reconstructed by using inverse DWT. To improve the quality, the firststep is Adaptive Histogram Equalization (AHE).Adaptive histogram equalization method for enhancing the contrast of digital is divided into regions of pixels. Images captured in foggy weather conditions get highly degraded due to suffering from poor contrast and loss of colour characteristics .By using color space conversion method, to enhance the colored foggy images. The results of the SVD-DWT method clearly indicates increased efficiency and flexibility over the exiting methods such as Linear Contrast Stretching technique, GHE technique, De-correlation Stretching technique, Gamma Correction method based techniques

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证

索引于

学术钥匙
研究圣经
引用因子
宇宙IF
参考搜索
哈姆达大学
世界科学期刊目录
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

查看更多