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A rapidly increasing portion of internet traffic is dominated by requestsfrom mobile devices with limited and metered bandwidth constraints. To satisfythese requests, it has become standard practice for websites to transmit smalland extremely compressed image previews as part of the initial page loadprocess to improve responsiveness. Increasing thumbnail compression beyond thecapabilities of existing codecs is therefore an active research direction. Inthis work, we concentrate on extreme compression rates, where the size of theimage is typically 200 bytes or less. First, we propose a novel approach forimage compression that, unlike commonly used methods, does not rely onblock-based statistics. We use an approach based on an adaptive triangulationof the target image, devoting more triangles to high entropy regions of theimage. Second, we present a novel algorithm for encoding the triangles. Theresults show favorable statistics, in terms of PSNR and SSIM, over both theJPEG and the WebP standards.

Representing Images in 200 Bytes: Compression via Triangulation