Digital Image Processing

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Presentation transcript:

Digital Image Processing Image Compression Digital Image Processing

Image and Video

Formats RGB is not used for transmission of signals between capture and display devices Too expensive, needs too much bandwidth Converted to luminance and chrominance formats Use standard YIQ or YUV format

Compression Issues How many bits we need? Deals with perceptible color resolution Has to do with difference threshold How much frequency do we need? Deals with perceptible frequency Both spatial and temporal How much can we perceive?

Compression Issues Bandwidth requirements of resulting stream Bits per pixel (bpp) Image quality Compression/decompression speed Latency Cost Symmetry Robustness Tolerance of errors and loss Application requirements Live video Stored video

Compression Basics Simple compression Statistical techniques Interpolation-based techniques Transforms

Compression Basics Simple compression Statistical techniques Interpolation-based techniques Transforms

Bit Reduction

Compression Basics Simple compression Statistical techniques Interpolation-based techniques Transforms

Color Look-Up-Table (Statistical)

Run Length Encoding

Compression Basics Simple compression Statistical techniques Interpolation-based techniques Transforms

Interpolative Compression Acquire chrominance at lower resolution Humans have lower chrominance acquity Sub-sample by a factor of four in horizontal and vertical direction

Interpolative Compression Acquire chrominance at lower resolution Humans have lower chrominance acquity Sub-sample by a factor of four in horizontal and vertical direction

Reconstruction Using bilinear interpolation Gives excellent results

Significant Compression

Compression Basics Simple compression Statistical techniques Interpolation-based techniques Transforms

Luminance Contrast Sensitivity Minimum contrast required to detect a particular frequency Maximum sensitive at 4-5 cycles per degree

Testing Contrast Sensitivity

Temporal Contrast Sensitivity Present image of flat fields temporally varying in intensity like a sine wave If the flicker is detectable Cycles per second

CSF and filters Both spatial and temporal CSF act as band pass filters How do they interact? At higher temporal frequency, acts as low pass filter

Chrominance Contrast Sensitivity Gratings Red-Green (602, 526nm) Blue-Yellow (470, 577nm)

Compare with luminance CSF Low pass filter rather than bandpass filter Sensitivity is lower More sensitive to luminance change than to chrominance change High frequency cut-off is 11 cycles per degree rather than 30 cycles per degree Color acuity is lower than luminance acuity

Important points We are more sensitive to lower frequencies than to higher frequencies in luminance We are less sensitive to chrominance than to luminance We are less sensitive to high temporal frequency

Humans are not sensitive to high frequencies

DC Coefficients DPCM