An iterative hillclimbing algorithm for discrete optimization on images: Application to joint encoding of image transform coefficients

IEEE Signal Processing Letters

Volumn 9, Issue 2, 2002, Pages 46-50

  Bunyaratavej, Piya ^a   Miller, David J ^a  

^a The Pennsylvania State University   (United States)

Author keywords

Dynamic programming; Entropy constrained quantization; Image based optimization

Indexed keywords

ALGORITHMS; COSINE TRANSFORMS; DYNAMIC PROGRAMMING; IMAGE COMPRESSION; LAGRANGE MULTIPLIERS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY;

ENTROPY-CONSTRAINED QUANTIZATION; IMAGE TRANSFORM COEFFICIENTS; IMAGE-BASED OPTIMIZATION; ITERATIVE HILLCLIMBING ALGORITHM;

IMAGE CODING;

EID: 0036477064     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.991135     Document Type: Article

References (14)

1. Lossless, near-lossless, and refinement coding of bilevel images
2. Markov model aided decoding for image transmission using soft-decision-feedback
3. An iterative algorithm for two-dimensional digital least metric problems with applications to digital image compression
4. Embedded image coding using zerotrees of wavelet coefficients
5. Entropy-constrained trellis-coded quantization
6. Conditional entropy-constrained trellis-searched vector quantization for image compression
7. Conditional entropy-constrained residual VQ with application to image coding
8. Conditional entropy-constrained vector quantization of linear predictive coefficients
9. Entropy-constrained product code vector quantization with application to image coding
10. Trellis coded quantization of memoryless and Gauss-Markov sources
11. The Design of Trellis waveform coders
12. On entropy-constrained trellis coded quantization
13. Lagrangian-based methods for finding MAP solutions for MRF models
14. Transform coding of monochrome and color images using trellis coded quantization