The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
Robot Vision
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Perception-motivated high dynamic range video encoding
ACM SIGGRAPH 2004 Papers
High-Dynamic-Range Still-Image Encoding in JPEG 2000
IEEE Computer Graphics and Applications
Backward compatible high dynamic range MPEG video compression
ACM SIGGRAPH 2006 Papers
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Image Sensors and Signal Processing for Digital Still Cameras
Image Sensors and Signal Processing for Digital Still Cameras
Two-layer coding algorithm for high dynamic range images based on luminance compensation
Journal of Visual Communication and Image Representation
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a coding method for camera raw images with high dynamic ranges. Our encoder has two layers. In the first layer, 24 bit low dynamic range image is encoded by a conventional codec, and then the residual image that represents the difference between the raw image and its approximation is encoded in the second layer. The approximation is derived by a polynomial fitting. The main advantage of this approach is that applying the polynomial model reduces the correlation between the raw and 24 bit images, which increases coding efficiency. Experiments shows compression efficiency is significantly improved by taking an inverse tone mapping into account.