Image processing is a field consists of various stages for processing an image .One of the most important stage of image processing is image enhancement which effects the pictorial view of an image. In image enhancement, noise removal is very important and for this image filters are used.This paper provides a detailed study of various filtering techniques. The focus is on bilateral filtering as...

Despite significant progress, image saliency detection still remains a challenging task in complex scenes and environments. Integrating multiple different but complementary cues, like RGB and Thermal (RGB-T), may be an effective way for boosting saliency detection performance. The current research in this direction, however, is limited by the lack of a comprehensive benchmark. This work contrib...

This paper reports the development of a spectral reconstruction technique for predicting hyperspectral images from RGB color images and classifying food-borne pathogens in agar plates using reconstructed hyperspectral images. The six representative non-O157 Shiga-toxin producing Escherichia coli (STEC) serogroups (O26, O45, O103, O111, O121, and O145) grown on Rainbow agar plates were used for ...

We address the problem of estimating camera pose relative to a known scene, given a single RGB image. We extend recent advances in scene coordinate regression forests for camera relocalization in RGB-D images to use RGB features, enabling camera relocalization from a single RGB image. Furthermore, we integrate random RGB features and sparse feature matching in an efficient and accurate way, bro...

This paper proposes high resolution RGB image supported near infrared (NIR) image super resolution method. In general, NIR image has low resolution characteristics. To show small image on bigger screen, super resolution method is applied to generate bigger image to fit the display. As CCD camera take colors images with high resolution, therefore one many extract helpful features for NIR image s...

This article reports on the use of digital image processing techniques to analyze an ultravioletfluorescence photograph of the area of the Shroud of Turin where the radiocarbon dating samples were taken. Results of this analysis demonstrate the anomalous nature of the radiocarbon data sample area. The techniques employed in this investigation are those used by the land remote sensing community ...

We present a method for binary segmentation of multiband images based on a combination of dimensionality reduction techniques (Weighted PCA and Quadratic Programming Feature Selection), classification methods (Gaussian Mixtures Models and Random Forest) and segmentation method (Quadratic Markov Measure Field Models). In this work, four pixels descriptors are presented: Color, Discrete Cosine Tr...

Recent years have seen tremendous increase in the generation, transmission, and storage of color images. A new lossless image compression method for progressive-resolution transmission of color images is carried out in this paper based on spatial and spectral transforms. Reversible wavelet transforms are performed across red, green, and blue color sub bands first. Then adaptive spectral transfo...

This paper presents a novel face recognition method by means of fusing color, local spatial and global frequency information. Specifically, the proposed method fuses the multiple features derived from a hybrid color space, the Gabor image representation, the local binary patterns (LBP), and the discrete cosine transform (DCT) of the input image. The novelty of this paper is threefold. First, a ...

Motivated by recent work on deep neural network (DNN)-based image compression methods showing potential improvements in image quality, savings in storage, and bandwidth reduction, we propose to perform image understanding tasks such as classification and segmentation directly on the compression representations produced by these compression methods. Since the encoders and decoders in DNN-based c...