Parul V. Pithadia

  • Citations Per Year
Learn More
In this paper, we propose a novel learning based technique for feature preserving super-resolution of a low resolution observation. The local geometry of an image is conveyed by image features such as edges, corners and curves. We encode these features with local binary pattern operator. The missing high resolution features of the low resolution observation(More)
In this paper, we propose a novel technique for feature preserving image super-resolution. Given a test image and a training database consisting of low resolution images and their high resolution versions, we obtain the super-resolution by learning the details from the high resolution training images. The image features such as edges, corners, and curves(More)
Fingerprint image segmentation is initial part of fingerprint recognition system. Fingerprint segmentation separates fingerprint area from image background. Segmentation is used to avoid extraction of feature in noisy areas that are common in background. In this paper we propose a very simple algorithm that uses Laplacian of Gaussian (LoG) filter, edge(More)
In this paper we propose a zoom based technique to super resolve static scene using observation captured at different camera zoom factor. We capture a static scene at different camera zoom and obtain super resolved image of entire scene at resolution of most zoom observation. Minimum absolute error criteria is used to model image features such as edges,(More)
This paper presents a multi-feature technique that integrates three different types of histograms for Efficient Content Based Image Retrieval. Color feature is extracted in the form of color histogram using Hue, Saturation and Value (HSV) color space. Local primitives of texture are extracted using Local Binary Pattern. The shape information is obtained(More)
In this paper, we propose a new technique for feature preserving spatial resolution enhancement of an image captured at low spatial resolution. We use a training database containing low resolution (LR) images and their high resolution (HR) versions. In an image, different features like edges, corners, curves and junctions are important to convey its local(More)
  • 1