A new image feature called Harris feature vector is defined in this paper, which effectively describes the image gradient distribution. By computing the mean and the standard devi...
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
In this paper, we present advanced algorithms to reduce the computation cost of block matching algorithms for motion estimation in video coding. Advanced Multilevel Successive Elim...
—In this paper, a new sorting initial codebook algorithm for learning vector quantization (LVQ) based upon selforganizing feature maps (SOM) has been proposed. The basic idea is ...
Abstract. To handle signal processing algorithms such as the Fast Fourrier Transform (FFT) or the Discrete Cosine Transform (DCT) system designers have traditionally resorted to sp...