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New efficient methods of image compression in digital cameras with color filter array
IEEE Transactions on Consumer Electronics
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IEEE Transactions on Image Processing
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IEEE Transactions on Image Processing
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
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Low-complexity near-lossless image coder for efficient bus traffic in very large size multimedia SoC
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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In order to decrease the communication bandwidth and save the transmitting power in the wireless endoscopy capsule, this paper presents a new near-lossless image compression algorithm based on the Bayer format image suitable for hardware design. This algorithm can provide low average compression rate (2.12 bits/pixel) with high image quality (larger than 53.11 dB) for endoscopic images. Especially, it has low complexity hardware overhead (only two line buffers) and supports real-time compressing. In addition, the algorithm can provide lossless compression for the region of interest (ROI) and high-quality compression for other regions. The ROI can be selected arbitrarily by varying ROI parameters. In addition, the VLSI architecture of this compression algorithm is also given out. Its hardware design has been implemented in 0.18 µm CMOS process.