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alternative-matting-laplacian

atrium_segmentation_using_unet

Using segmentation, we compute the volume ratio of right to left atria, obtaining a smaller ratio that indicates better restoration. Hence, the proposed technique allows to evaluate the surgical success of atrial septal occlusion and may support diagnosis regarding the accurate evaluation of atrial septal defects before and after occlusion

bayesian-matting

This project implements the Bayesian Matting technique described in Yung-Yu Chuang, Brian Curless, David H. Salesin and Richard Szeliski. A Bayesian Approach to Digital Matting. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2001), Vol. II, 264-271, December 2001 [1]

block_matching-algorithm-for-motion-compensation

Block Matching is a method of temporal compression used in video encoding. This technique's main goal is to calculate the distances between each block of pixels in two subsequent frames. The majority of the total time spent on video coding is spent on this method, which is used in the motion estimate step.

decision-tree-denoising-method-implementation-using-fpga

fba_matting

Official repository for the paper F, B, Alpha Matting

finger-detection-and-counting-using-computer-vision

developed a computer that can recognize hands, segment them, and count the fingers on raised hands.

gradient-based-motion-estimation-using-matlab

Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane.

hands-on-gpu-accelerated-computer-vision-with-opencv-and-cuda-1

Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt

image-processing-filter-implemenation-using-fpga

In image processing filters are mainly used to suppress either the high frequencies in the image, i.e. smoothing the image, or the low frequencies, i.e. enhancing or detecting edges in the image. An image can be filtered either in the frequency or in the spatial domain.

image-processing-histogram-implementation-on-fpga

Histogram equalisation is a contrast enhancement or contrast normalisation technique. It uses the histogram to construct a monotonic mapping that results in a flattened output histogram.

image-processing-on-gpu-using-cuda-and-opencv

CUDA and the GPU enable faster training of neural networks and other deep-learning algorithms, which has transformed computer vision research. NVIDIA is working on several hardware platforms that will aid in developing computer vision applications.

liver-tumour-segmentation

he segmentation of the liver and the evaluation of the region of interest (ROI) were the two overlapping models' main applications in this project. To evaluate the liver with an abdominal CT image volume, the liver is segmented.

object-tracking-using-opencv

Object tracking using OpenCV is a popular method that is extensively used in the domain. OpenCV has a number of built-in functions specifically designed for the purpose of object tracking.

restoration-of-old-gramophone-recordings

There are described algorithms for eliminating white noise, impulsive disturbances, and scratches from preserved vinyl recordings. Additionally, the situation where there are many copies of a recording with uncorrelated noise components is taken into account.

semi-automated-binary-segmentation

Binary Image segmentation is the process of classifying the pixels of an image into two categories: pixels belonging to the foreground objects of an image and pixels belonging to the background objects of an image. . In a probabilistic approach, label dependencies are modeled by Markov random field.

video-compression-implementation-using-fpga

Video compression is important in the new web and fast transmission era. Our project involves connecting the image sensor to an FPGA and then compressing the video for fast and precise compression. The eventual aim of video compression is to reduce video bit rate for both transmission and storage .

video-processing-using-fpga

Here, we implemented a VHDL code for test pattern generator and a Sobel edge detection filter.

video-scaling-hls-implementation

Video scaling, whether upscaling or downscaling, is the process of generating pixels that did not exist in the original image. FPGAs with a slew of high-performance DSP structures are ideal for such algorithms, and FPGA vendors are starting to offer user-configurable video-scaling IP blocks that are speedily configured for any application.