Digital forgery estimation into DCT domain: a critical analysis
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Chroma noise reduction in DCT domain using soft-thresholding
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Crop detection through blocking artefacts analysis
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Statistical modeling of huffman tables coding
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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Abstract: The paper presents a new and statistical robust algorithm able to improve the performance of the standard DCT compression algorithm for both perceived quality and compression size. The approach proposed combines together an information theoretical/statistical approach with HVS (Human Visual System) response functions. The methodology applied permits to obtain suitable quantization table for specific classes of images and specific viewing conditions. The paper presents a case study where the right parameters are learned after an extensive experimental phase, for three specific classes: Document, Landscape and Portrait. The results show both perceptive and measured (in term of PSNR) improvement. A further application shows how it is possible obtain significative improvement profiling the relative DCT error inside the pipeline of images acquired by typical digital sensors.