1. A method for displaying high dynamic range image on a low dynamic
range display, comprising steps of:
receiving a plurality of signals as analog data from a detector representative
of a scene;
converting of analog data to digital data;
pre-processing of the digital data to generate pre-processed data;
generating of histogram on the pre-processed data; and
non-linear mapping of a cumulative distribution function (CDF) data relating
to image intensity value of the scene.
2. The method as in claim 1, wherein the step of non-linear mapping of a
cumulative distribution function (CDF) data relating to image intensity value
of the scene, further comprising steps of:
receiving pre-processed image histogram data as input;
calculating number of valid histogram bin levels based on a threshold
function;
finding a mid-histogram bin point and its corresponding bin value;
applying a non-linear mapping function on first half of a cumulative
distribution function (CDF) of a binarized histogram of the image intensity
values;
applying the non-linear mapping function on a second half of a cumulative
distribution function (CDF) of a binarized histogram of the image intensity
values; and
performing non-linear mapping on the CDF in accordance therewith display
dynamic range for displaying on a display.
3. The method as in claim 2, wherein histogram projection mechanism is used for calculating number of valid histogram bin levels based on a threshold function.

4. The method as in claim 2, Further comprising the steps of: intermittently shifting the mid-histogram bin point through a user-interface.
5. The method as in claim 2, Further comprising the step of: intermittently applying manual gain adjustment through user interface.
6. The method as in claim 1, wherein the step of pre-processing of the digital data to generate pre-processed data, further comprises steps of:
receiving a plurality of signals from a detector representative of a scene;
performing Non-uniformity correction (NUC) and Bad Pixel replacement if
the plurality of signals is from Infra-red (IR) detector otherwise collecting the
data for storing in memory;
applying of a low pass filter; and
extracting details from the filtered data and original data using subtraction.
7. The method as in claim 6, Further comprising the steps of: intermittently feeding of an Infinite Impulse Response(IIR) parameter through a user interface.
8. The method as in claim 6, further comprising the steps of: Intermittently feeding of low pass filter parameters through a user interface.
9. The method as in claim 6, Further comprising the steps of: intermittently receiving detail parameter from user.
10. A system for displaying high dynamic range image on a low dynamic range display, comprising
atleast one sensor for receiving an input imagery from a scene being
captured;
a memory device to store temporary image data or configuration
parameters of a processor;

a control unit to provide an interface between a user and the processor and allow user to alter image rendering related parameters; and a processor, configured to process the imagery received from the sensor and provide dynamic range mapping of the captured image on to the display using a nonlinear curve applied on cumulative distribution function (CDF) of binarized histogram of the image intensity values.
11. The system as in claim 10, wherein the processor further comprises of: a Pre-processing module configured to perform the operations of Non-uniformity correction (NUC), Bad pixel replacement and filtering to remove temporal noise;
a Non-linear Dynamic range mapping module configured to non-linearly map the cumulative distribution function (CDF) data to display on a low dynamic range display device.