Autors: POPA,C., GORDAN,M., VLAICU,A., ORZA,B., OLTEAN,G. Title: Compressed Domain Implementation of Fuzzy RuleBased Contrast Enhancement Keywords: Compressed domain processing, Discrete cosine transform (DCT Abstract: Since the resolution of images increased in the past few years,the requirements for large storage space and fast process,directly in the compressed domain,becomes essential.Fuzzy rulebased contrast enhancement,is a wellknown rather simple approach with good visual results,but as any fuzzy algorithm,it is by default nonlinear,thus not straightforward applicable on the JPEG bitstream.In this paper,we propose an implementation strategy suitable for single inputsingle output TakagiSugeno fuzzy systems with trapezoidal shaped input membership function directly in the compressed domain.The fuzzy sets parameters are adaptively chosen by analyzing the histogram of the image data in the compressed domain,in order to optimally enhance the image contrast.The fuzzy rulebased algorithm requires some threshold comparisons,for which an adaptive implementation,taking into account the frequency content of each block in the compress domain JPEG image is proposed. References Issue

Вид: публикация в национален форум