Implementation of Multi-Linear Gain Prior to Image Compression System in Remote Sensing Electro-Optical Payloads

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Ashok Kumar 1,* Rajiv Kumaran 1

1. SFED/SEG/SEDA, Space Applications Centre, ISRO, Ahmedabad-India-380015

* Corresponding author.


Received: 5 Nov. 2014 / Revised: 10 Dec. 2014 / Accepted: 6 Jan. 2015 / Published: 8 Feb. 2015

Index Terms

Multi Linear Gain (MLG), image compression, JPEG, SNR, photon noise


Future high resolution instrument planned by ISRO for space remote sensing will lead to higher data rates because of increase in resolution and dynamic range. Hence, image compression implementation becomes mandatory. Presently designed compression technique does not take account of imaging system noise like photon noise etc. This ignorance affects compression system performance. As a solution, this paper proposes MLG (Multi Linear Gain) operation prior to main compression system. With digital MLG operation, captured image can be optimally adjusted to systems noise. Proposed MLG operation improves compression ratio. Simulation results show 15-30% improvement in lossless compression ratio. However this improvement depends on MLG gains and corner points which can be driven by system SNR plot. MLG operation also helps in improving SNR at lower radiance input, when lossy JPEG2000 compression is used as main compression. Up to 1-6 dB SNR improvement is observed in simulations. Proposed MLG implementation is of very low complexity and planned to be used in future missions.

Cite This Paper

Ashok Kumar, Rajiv Kumaran,"Implementation of Multi-Linear Gain Prior to Image Compression System in Remote Sensing Electro-Optical Payloads", IJIGSP, vol.7, no.3, pp. 51-57, 2015. DOI: 10.5815/ijigsp.2015.03.08


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