Method and device for compression of ADPCM image
An image compression and pixel technology, applied in image communication, image coding, image data processing, etc., can solve the problems of ineffective improvement of image quality, unsatisfactory quantization effect, complicated encoding and decoding process, etc. Improve the effect, improve the objective quality and subjective effect, the effect of simplifying the encoding and decoding process
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Embodiment 1
[0035] Embodiment one is the ADPCM image compression method that the present invention proposes, and its specific implementation process is as follows:
[0036] 1. First, use the reconstructed adjacent pixels A, B and C to calculate the current original pixel X 0 The predicted value X' of .
[0037] Each image is composed of pixels, and the value of the unknown pixel can be roughly judged by the value of the known pixel, such as figure 1 As shown in , assuming that the values of the three pixels of A, B, and C are known, since the input image is a Bayer image, the effective bits of each pixel are 10 bits or 8 bits, then the fourth pixel point X 0 The predicted value X' of is:
[0038] When the effective bit of the pixel is 10 bits, X'=(C+B) / 2
[0039] When the effective bit of the pixel is 8 bits, X'=(3*C-2*A+3*B) / 4
[0040] where A, B, C and X 0 They are the color difference components of the same nature of adjacent pixels, if A, B or C does not exist, set its value to...
Embodiment 2
[0070] Embodiment 2 is an image compression device, such as figure 2 as shown in
[0071] A prediction unit, configured to use the reconstructed values A, B, and C of adjacent pixels to calculate the predicted value X' of the current pixel;
[0072] Quantization unit, including three quantizers Q 0 , Q 1 and Q 2 and the quantizer selection subunit, the relationship between the three groups of quantizers is as follows:
[0073] Q 0 =0.5Q 1
[0074] Q 2 =1.75Q 1
[0075] Q 1 =[-D2, -D1, -D0, 0, D0, D1, D2]*QP
[0076] The optimal quantizer is selected from the three quantizers by the quantizer selection subunit for the prediction error (ie X 0 -X') is quantified;
[0077] Coding unit, the user performs entropy coding on the quantization result, and uses overflow code coding in the quantization interval at both ends;
[0078] An inverse quantization unit, configured to inverse quantize the quantization result output by the quantization unit;
[0079] The reconst...
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