We don’t yet have an ideal camera. There is no device that can ‘capture everything,’ but Current imaging devices can capture 12-14 bits of dynamic range. Improved dynamic range can be obtained by digitally ‘stitching’ multiple exposures HDR Image capture offers many benefits to the professional and amateur photographers. High contrast typically associated with high visual quality. Contrast of a raw image can be far less than ideal caused by Poor illumination conditions, low quality inexpensive imaging sensors, user operation errors, media deterioration (e.g., old faded prints). We propose a noise reduction method and an adaptive contrast enhancement for local TM. To decompose the frame into sub-band pyramids we make use of Haar wavelets and filter it using a bilateral filter (LL sub-band) and soft-thresholding (LH, HL, and HH sub-bands). To enhance the local contrast by an adaptive weight, which is derived from the luminance compression function with the color constraint. Finally, to reproduce the color of the tone-mapped frame using an adaptive saturation control parameter.