Sumana Gupta

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Colorization is a computer-aided process of adding color to a grayscale image or video. The task of colorizing a grayscale image involves assigning three dimensional (RGB) pixel values to an image which varies along only one dimension (luminance or intensity). Since different colors may have the same luminance value but vary in hue or saturation, mapping(More)
In this paper, a new algorithm is proposed for fast kernel density estimation (FKDE), based on principal direction divisive partitioning (PDDP) of the data space. A new framework is also developed to apply FKDE algorithms (both proposed and existing), within nonparametric noncausal Markov random field (NNMRF) based texture synthesis algorithm. The goal of(More)
Transform coding is one of the most popular image compression techniques. However in these transformations, the image is divided into sub-blocks and each block in transformed individually. This introduces boundaries called blocking artifacts along the edges of these blocks. In this paper, we have discussed a spatial filtering method for reducing the(More)
The main objective of this paper is to propose a method for localized image enhancement. This method can be highly beneficial in medical purposes, like Laminography, or in enhancing images captured under non-uniform illumination. Along with a depth map, a spatial queue-based data structure is used to properly locate the area to be enhanced in the captured(More)
Markov random field (MRF) based sampling method is popular for synthesizing natural textures. The main drawback of the synthesis procedure is the large computational complexity involved. In this paper, we propose an approximation of the conditional density description for the reduction of computational complexity required in sampling texture pixels from the(More)
Video decomposition into visually similar part and feature part has gained considerable importance due to its applications in different fields of video processing. Some of the diverse problems that can be handled using this decomposition technique are- background estimation, motion saliency detection, single object tracking, multiple object tracking,(More)
Shot and scene boundary detection is a primary and an important step towards all the video condensation techniques. In this paper a simple but automatic and efficient scene and shot boundary detection is proposed based on energy minimization approach. A shot differs in its background from another. The background has a temporal continuity throughout the(More)
This paper discusses the implementation of a very low bit rate video codec (coder-decoder) which achieves a bit rate of as low as about 25 Kbps for test sequences having frame rate of 7 fps and frame size of 256×256 pixels. We have employed techniques like Comer matching and tracking for motion prediction that is instrumental in reducing the bitrate(More)