Iterative rate-distortion optimization of H.264 with constant bit rate constraint.
IEEE Trans Image Process
; 17(9): 1605-15, 2008 Sep.
Article
en En
| MEDLINE
| ID: mdl-18701398
ABSTRACT
In this paper, we apply the primal-dual decomposition and subgradient projection methods to solve the rate-distortion optimization problem with the constant bit rate constraint. The primal decomposition method enables spatial or temporal prediction dependency within a group of picture (GOP) to be processed in the master primal problem. As a result, we can apply the dual decomposition to minimize independently the Lagrangian cost of all the MBs using the reference software model of H.264. Furthermore, the optimal Lagrange multiplier lambda* is iteratively derived from the solution of the dual problem. As an example, we derive the optimal bit allocation condition with the consideration of temporal prediction dependency among the pictures. Experimental results show that the proposed method achieves better performance than the reference software model of H.264 with rate control.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Grabación en Video
/
Algoritmos
/
Procesamiento de Señales Asistido por Computador
/
Interpretación de Imagen Asistida por Computador
/
Aumento de la Imagen
/
Artefactos
/
Compresión de Datos
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Idioma:
En
Revista:
IEEE Trans Image Process
Asunto de la revista:
INFORMATICA MEDICA
Año:
2008
Tipo del documento:
Article
País de afiliación:
Estados Unidos