L 2 restoration of L ∞-decoded images with context modeling

The L ∞-constrained image coding is a technique to achieve substantially lower bit rate than strictly (mathematically) lossless image coding while still imposing a tight error bound at each pixel (colloquially referred to as near-lossless image coding). However, this technique becomes inferior in the L 2 distortion metric if the bit rate decreases further. We propose a new soft decoding approach to reduce the L 2 distortion of L ∞-coded images, …