Coding of Light Fields Using Disparity-Based Sparse Prediction

Hierarchical Coding of Light Fields with Disparity Maps

A coder for light elds is presented. Due to the large amount of data needed to represent a complete light eld, a hierarchical decomposition is employed. The full light eld is built up by recursively predicting intermediate images from a small subset of lighteld images. Intermediate images are predicted by disparity-compensating multiple surrounding images. The predicted images are re ned using ...

HIERARCHICAL CODING OF LIGHT FIELDS WITH DISPARITY MAPSMar

Sparse Coding of Disparity Information

It has been shown that the classical receptive fields (RF) emerge from statistical properties of natural images by forcing cells to be maximally sparse. Here, we extend these studies by using stereoscopic movies as input, recorded by two cameras mounted on the head of a freely moving cat. With patches cut from these movies, we trained a two layer feed forward network, optimising it toward a goa...

Compression of Light Fields Using Disparity Compensation and Vector Quantization

Rice Classification and Quality Detection Based on Sparse Coding Technique

Classification of various rice types and determination of its quality is a major issue in the scientific and commercial fields associated with modern agriculture. In recent years, various image processing techniques are used to identify different types of agricultural products. There are also various color and texture-based features in order to achieve the desired results in this area. In this ...