Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation und...

Skin color segmentationis used to determine whether the color pixel is a skin color or non skin color. Understanding the skin color segmentation which supports to design YCbCr and CIELab algorithm for skin color segmentation which use in various applications such as face detection, human computer interaction, medical x-rays scan, agriculture. In this paper we discuss on face detection algorithm...

This paper presents a novel method of lossy image compression for digital colorful image sensors with Bayer color filter arrays (CFAs) based on an analysis of existing compression-first methods. An improved compression and decompression structure is described. The captured CFA raw data are firstly lowpass filtered in RGB space by a smooth filter followed by a down-sampling operation. Next, the ...

For all our evaluation results, the reported PSNR values are computed using only the Y channel of the estimated YCbCr image. In case of RGB images, we first convert to YCbCr color space and then compute on the Y channel. For all experiments using the SRCNN [1] or VSR [5] architecture, we follow [5] and for technical reasons crop away 12 pixels of the boundary from the estimated high-resolution ...

Most of the government as well as trade houses and defense organizations are taking advantage of biometric applications to arrange for advanced security solutions. Biometric security has already proven its significance. Even though, the application of Face recognition is used to ensure more security, safety, and prevention of deceitful act in biometric area. Face detection is one of the most va...

In this study we use a multi-spectral digital microscope (MDM) to measure multi-spectral auto-fluorescence and reflectance images of the hamster cheek pouch model of DMBA (dimethylbenz[alpha]anthracene)- induced oral carcinogenesis. The multi-spectral images are analyzed both in the RGB (red, green, blue) color space as well as in the YCbCr (luminance, chromatic minus blue, chromatic minus red)...

Inspired on the techniques used by painters to overlap layers of various hues of paint to create oil paintings, and also on observations of the the arrangement of Short-(S), Middle-(M), and Long-(L) wavelength-sensitive cones of the human retina for the interpretation of the colors, this paper proposes the use of the new color space called HSM to the processing of color images. To demonstrate t...

The large numbers of images has posed increasing challenges to computer systems to store and manage data effectively and efficiently. This paper implements a CBIR system using different feature of images through four different methods, two were based on analysis of color feature and other two were based on analysis of combined color and texture feature using wavelet coefficients of an image. To...

In this paper, we propose a novel approach to improve the visual appearance of nighttime video. The proposed method firstly converts the video from RGB color space to YCbCr color space, and then Y component is extracted to enhance illumination using a new image fusion method, which uses wavelet transform. Secondly, low-pass Gaussian filter is used to resolve vague areas problems of the enhanced...