title: On 2-D recursive LMS algorithms using ARMA prediction for ADPCM encoding of images.
abstract: A two-dimensional (2D) linear predictor which has an autoregressive moving average (ARMA) representation well as a bias term is adapted for adaptive differential pulse code modulation (ADPCM) encoding of nonnegative images. The predictor coefficients are updated by using a 2D recursive LMS (TRLMS) algorithm. A constraint on optimum values for the convergence factors and an updating algorithm based on the constraint are developed. The coefficient updating algorithm can be modified with a stability control factor. This realization can operate in real time and in the spatial domain. A comparison of three different types of predictors is made for real images. ARMA predictors show improved performance relative to an AR algorithm.
authors.affiliation: Dept. of Electr. Eng., Pittsburgh Univ., PA.
authors.forename: Y S
authors.initials: YS
authors.lastname: Chung
authors.forename: M
authors.initials: M
authors.lastname: Kanefsky