Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Space variant image processing
International Journal of Computer Vision
Function approximation with additive fuzzy systems
Theoretical aspects of fuzzy control
A wavelet approach to foveating images
SCG '97 Proceedings of the thirteenth annual symposium on Computational geometry
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
Retinally reconstructed images: digital images having a resolution match with the human eye
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Foveated Visual Search for Corners
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Fast algorithms for foveated video processing
IEEE Transactions on Circuits and Systems for Video Technology
Foveated shot detection for video segmentation
IEEE Transactions on Circuits and Systems for Video Technology
A practical foveation-based rate-shaping mechanism for MPEG videos
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a novel method of the foveation image coding based on the fuzzy-based joint parameter selection. Our objective is to maximize foveated wavelet image quality index (FWQI) of the reconstructed image. With the foveated visual sensitivity model, image regions are first prioritized. The image regions close to foveation points have higher priorities than those far away from the foveation points. The discrete wavelet transform (DWT) is utilized to transform the considering image to the wavelet domain. The wavelet coefficients from different image regions are weighted using the foveated visual sensitivity model and then scaled down before entropy encoding. To achieve the objective, we use a fuzzy logic system and an iterative search to select image coding parameters under the bit budget constraint. The coding parameters consist of a number of weighted wavelet coefficients in the list significant pixel (LSP) of the SPIHT codec [A. Said, W.A. Pearlman, A new, fast, and efficient image codec based on set partitioning in hierarchical trees, IEEE Trans. Circuits Syst. Video Technol. 6 (3) (1996) 243-250], represented as N"L"S"P, and a scaling down factor (QP). There are two inputs and one output in the proposed fuzzy logic system. The inputs are N"L"S"P and targeted bit per pixel used to encode an image. The output is an interval of QP. The QP value corresponding to the input N"L"S"P giving the highest FWQI is selected from the derived interval. We iteratively search for the values of N"L"S"P and QP providing the highest FWQI. Then, the SPIHT codec is used to generate a scalable bitstream of the discrete wavelet coefficients with the optimal pair of N"L"S"P and QP. The sub-optimal search algorithm to compute both N"L"S"P and QP with low complexity is also proposed. Our simulation results show that the proposed scheme provides a better reconstructed image quality comparing to previous work in both objective and subjective qualities.