Presents a strategy for generating optimal JPEG quantization tables to approximate a target compression ratio. This uses a model to express the quantization coefficients as functions of compression ratio and their position in the quantization table. Simulated annealing of model parameters was used to find optimum models for an image which is a composite of several standard test images. Models of varying complexity with 1 to 6 parameters were optimized at three compression ratios, and a three parameter model was chosen to represent quantization tables. After further optimizations over a range of compressions, a general model was obtained by expressing each model parameter as a function of the compression. Application to three CCITT test pictures demonstrates the quality of recovered images.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A model for JPEG quantization


    Contributors:
    Sherlock, B.G. (author) / Nagpal, A. (author) / Monro, D.M. (author)


    Publication date :

    1994-01-01


    Size :

    343884 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Model for JPEG Quantization

    Sherlock, B. G. / Nagpal, A. / Monro, D. M. et al. | British Library Conference Proceedings | 1994


    Quantization-Unaware Double JPEG Compression Detection

    Taimori, A. | British Library Online Contents | 2016



    JPEG 2000 Scalar Quantization using an Optimally Frequency Localized Modulated Lapped Transform

    Tay, P. C. / Havlicek, J. P. | British Library Conference Proceedings | 2005