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Volumn 60, Issue 1, 1999, Pages 132-144

Statistical mechanics of image restoration and error-correcting codes

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; ERROR CORRECTION; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; MONTE CARLO METHODS; RANDOM PROCESSES; STATISTICAL MECHANICS; THEOREM PROVING;

EID: 0032607582     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.60.132     Document Type: Article
Times cited : (111)

References (24)
  • 19
    • 85036394610 scopus 로고    scopus 로고
    • Rigorously speaking, the state of Fig. 66(a) is a metastable state, not in full thermal equilibrium in which most of the pixels are either black or white when (Formula presented) is below the critical point. We nevertheless show the example (a) in Fig. 66 because it represents true equilibrium situations rather faithfully (if we look only at the mostly white domain, for example) and simultaneously it is easier to intuitively recognize the differences among (a)–(e) than by using mostly black or white images. The simulations of Figs. 44 and 55 were carried out in true equilibrium
    • Rigorously speaking, the state of Fig. 66(a) is a metastable state, not in full thermal equilibrium in which most of the pixels are either black or white when (Formula presented) is below the critical point. We nevertheless show the example (a) in Fig. 66 because it represents true equilibrium situations rather faithfully (if we look only at the mostly white domain, for example) and simultaneously it is easier to intuitively recognize the differences among (a)–(e) than by using mostly black or white images. The simulations of Figs. 44 and 55 were carried out in true equilibrium.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.